This document provides an overview of statistics concepts for a pharmacy course. It discusses topics like variables, populations and samples, levels of measurement for data, types of studies like randomized controlled trials, and key steps to planning a study. The document is intended to cover fundamental statistical concepts and their applications in pharmaceutical research and clinical trials.
Graphs(Biostatistics and Research Methodology) B.pharmacy(8th sem.)Pranjal Saxena
This slides contains the description about the Graphs(Histograms, Pie-Chart, Cubic Graph, Response surface Plot, Counter surface plot ) mainly Histograms with advantages, disadvantages and examples, Pie-chart with advantages, disadvantages and examples, Cubic Graph with examples, Response surface plot and Counter plot with examples and uses.
Cross over design, Placebo and blinding techniques Dinesh Gangoda
A crossover design is a modified randomized block design in which each block receives more than one treatment at different dosing periods.
A block can be a patient or a group of patients.
Patients in each block receive different sequences of treatments.
A crossover design is called a complete crossover design if each sequence contains all treatments under investigation.
A placebo is a dummy medicine containing no active substance.
This substance has no therapeutic effect, used as a control in testing new drugs.
Latin- ‘ I shall please’
What are the applications of Biostatistics in Pharmacy?pharmacampus
Biostatistics broadly deals with statistical applications in the context of biological problems, including medicine, pharmacy, and public health. Government organizations, research institutes and industry have been extensively using statistics and biostatistics
Graphs(Biostatistics and Research Methodology) B.pharmacy(8th sem.)Pranjal Saxena
This slides contains the description about the Graphs(Histograms, Pie-Chart, Cubic Graph, Response surface Plot, Counter surface plot ) mainly Histograms with advantages, disadvantages and examples, Pie-chart with advantages, disadvantages and examples, Cubic Graph with examples, Response surface plot and Counter plot with examples and uses.
Cross over design, Placebo and blinding techniques Dinesh Gangoda
A crossover design is a modified randomized block design in which each block receives more than one treatment at different dosing periods.
A block can be a patient or a group of patients.
Patients in each block receive different sequences of treatments.
A crossover design is called a complete crossover design if each sequence contains all treatments under investigation.
A placebo is a dummy medicine containing no active substance.
This substance has no therapeutic effect, used as a control in testing new drugs.
Latin- ‘ I shall please’
What are the applications of Biostatistics in Pharmacy?pharmacampus
Biostatistics broadly deals with statistical applications in the context of biological problems, including medicine, pharmacy, and public health. Government organizations, research institutes and industry have been extensively using statistics and biostatistics
SAMPLE SIZE DETERMINATION
Sample size determination is the essential step of research methodology. It is an act of choosing the number of observers or replicates to include in a statistical sample.
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.
Precision
A measure of how close an estimate is to the true value of a population parameter. Or it can be thought of as the amount of fluctuation from the population parameter that we can expect by chance alone in sample estimates.
Degree of Precision
This is presented in the form of a confidence interval (Range of values within which confidence lies).
RESEARCH REPORT
A research report is considered a major component of any research study as the research remains incomplete till the report has been presented or written. No matter how good a research study, and how meticulously the research study has been conducted, the findings of the research are of little value unless they are effectively documented and communicated to others.
TYPES OF RESEARCH REPORT
The research report is classified based on 2 things; Nature of research and Target audience.
COHORT STUDIES
A research study that compares a particular outcome in groups of individuals who are alike in many ways but differ by a certain characteristic is called as Cohort study.
Cohort studies are a type of research design that follow groups of people over time. Researchers use data from cohort studies to understand human health and the environmental and social factors that influence it.
CLINICAL TRIALS
A clinical trial, also known as a clinical research study, is a protocol to evaluate the effects and efficacy of experimental medical treatments or behavioral interventions on health outcomes. This type of study gathers data from volunteer human subjects and is typically funded by a medical institution, university or nonprofit group, or by pharmaceutical companies and government agencies.
Clinical trial vs. clinical study
A clinical study is research conducted with the intent of gaining medical knowledge. Observational and interventional are the two main types of clinical studies. A clinical trial is an interventional study.
Introduction & Basics of DoE
Terminologies
Key steps in DOE
Softwares used for DOE
Factorial Designs ( Full and Fractional)
Mixture Designs
Response Surface Methodology
Central Composite Design
Box -Behnken Design
Conclusion
References
This slide contains B.Pharm 8th Sem Biostatistics and research methodology, Unit-3.
Topic covered: Designing the methodology, Sample size determination and Power of a study, Report writing
and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies,
Designing clinical trial, various phases.
CROSSOVER STUDY DESIGN, DESIGN OF PHARMACOKINETIC STUDIES, FACTORS INFLUENCING BIOAVAILABILITY STUDIES, STUDY DESIGN, PARALLEL DESIGN, CROSS-OVER STUDIES, LATIN SQUARE DESIN, TWO-PERIOD CROSSOVER STUDY DESIGN, BALANCED INCOMPLETE BLOCK DESIGN (BIBD), REPLICATE CROSSOVER STUDY DESIGN , DIFFERENCE BETWEEN PARALLEL AND CROSSOVER STUDY DESIGN.
Introduction to Research - Biostatistics and Research methodology 8th Sem Uni...Himanshu Sharma
This slide contains B.Pharm Biostatistics and Research methodology 8th Sem. Unit-3 L2 topic- "Introduction to Research"
It contains topics:
1. Introduction to Research
2. Need for Research
3. Need for Design Experiments
4. Experimental Design Techniques
5. Plagiarism
Introduction to Research, Biostatistics, Introduction to Research: Need for research, Need for design of Experiments,
Experiential Design Technique, plagiarism
DESIGN OF EXPERIMENTS (DOE)
DOE is invented by Sir Ronald Fisher in 1920’s and 1930’s.
The following designs of experiments will be usually followed:
Completely randomised design(CRD)
Randomised complete block design(RCBD)
Latin square design(LSD)
Factorial design or experiment
Confounding
Split and strip plot design
FACTORIAL DESIGN
When a several factors are investigated simultaneously in a single experiment such experiments are known as factorial experiments. Though it is not an experimental design, indeed any of the designs may be used for factorial experiments.
For example, the yield of a product depends on the particular type of synthetic substance used and also on the type of chemical used.
ADVANTAGES OF FACTORIAL DESIGN.
Factorial experiments are advantageous to study the combined effect of two or more factors simultaneously and analyze their interrelationships. Such factorial experiments are economic in nature and provide a lot of relevant information about the phenomenon under study. It also increases the efficiency of the experiment.
It is an advantageous because a wide range of factor combination are used. This will give us an idea to predict about what will happen when two or more factors are used in combination.
DISADVANTAGES
It is disadvantageous because the execution of the experiment and the statistical analysis becomes more complex when several treatments combinations or factors are involved simultaneously.
It is also disadvantageous in cases where may not be interested in certain treatment combinations but we are forced to include them in the experiment. This will lead to wastage of time and also the experimental material.
2(square) FACTORIAL EXPERIMENT
A special set of factorial experiment consist of experiments in which all factors have 2 levels such experiments are referred to generally as 2n factorials.
If there are four factors each at two levels the experiment is known as 2x2x2x2 or 24 factorial experiment. On the other hand if there are 2 factors each with 3 levels the experiment is known as 3x3 or 32 factorial experiment. In general if there are n factors each with p levels then it is known as pn factorial experiment.
The calculation of the sum of squares is as follows:
Correction factor (CF) = (𝐺𝑇)2/𝑛
GT = grand total
n = total no of observations
Total sum of squares = ∑▒〖𝑥2−𝐶𝐹〗
Replication sum of squares (RSS) = ((𝑅1)2+(𝑅2)2+…+(𝑅𝑛)2)/𝑛 - CF
Or
1/𝑛 ∑▒𝑅2−𝐶𝐹
2(Cube) FACTORIAL DESIGN
In this type of design, one independent variable has 2 levels, and the other independent variable has 3 levels.
Estimating the effect:
In a factorial design the main effect of an independent variable is its overall effect averaged across all other independent variable.
Effect of a factor A is the average of the runs where A is at the high level minus the average of the runs
you can know about the central composite design, historical design, optimisation techniques and also about the TYPES OF CENTRAL COMPOSITE DESIGN, BOX-BEHNKEN DESIGN, DATA COLLECTION, CRITICISM OF DATA, PRESENTATION OF FACTS, PURPOSE, OPTIMISATION PROCESS, DIFFERENT TYPES PRESENT IN IT AND THEIR CLASSIFICATION AND EXPLANATION.
SAMPLE SIZE DETERMINATION
Sample size determination is the essential step of research methodology. It is an act of choosing the number of observers or replicates to include in a statistical sample.
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.
Precision
A measure of how close an estimate is to the true value of a population parameter. Or it can be thought of as the amount of fluctuation from the population parameter that we can expect by chance alone in sample estimates.
Degree of Precision
This is presented in the form of a confidence interval (Range of values within which confidence lies).
RESEARCH REPORT
A research report is considered a major component of any research study as the research remains incomplete till the report has been presented or written. No matter how good a research study, and how meticulously the research study has been conducted, the findings of the research are of little value unless they are effectively documented and communicated to others.
TYPES OF RESEARCH REPORT
The research report is classified based on 2 things; Nature of research and Target audience.
COHORT STUDIES
A research study that compares a particular outcome in groups of individuals who are alike in many ways but differ by a certain characteristic is called as Cohort study.
Cohort studies are a type of research design that follow groups of people over time. Researchers use data from cohort studies to understand human health and the environmental and social factors that influence it.
CLINICAL TRIALS
A clinical trial, also known as a clinical research study, is a protocol to evaluate the effects and efficacy of experimental medical treatments or behavioral interventions on health outcomes. This type of study gathers data from volunteer human subjects and is typically funded by a medical institution, university or nonprofit group, or by pharmaceutical companies and government agencies.
Clinical trial vs. clinical study
A clinical study is research conducted with the intent of gaining medical knowledge. Observational and interventional are the two main types of clinical studies. A clinical trial is an interventional study.
Introduction & Basics of DoE
Terminologies
Key steps in DOE
Softwares used for DOE
Factorial Designs ( Full and Fractional)
Mixture Designs
Response Surface Methodology
Central Composite Design
Box -Behnken Design
Conclusion
References
This slide contains B.Pharm 8th Sem Biostatistics and research methodology, Unit-3.
Topic covered: Designing the methodology, Sample size determination and Power of a study, Report writing
and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies,
Designing clinical trial, various phases.
CROSSOVER STUDY DESIGN, DESIGN OF PHARMACOKINETIC STUDIES, FACTORS INFLUENCING BIOAVAILABILITY STUDIES, STUDY DESIGN, PARALLEL DESIGN, CROSS-OVER STUDIES, LATIN SQUARE DESIN, TWO-PERIOD CROSSOVER STUDY DESIGN, BALANCED INCOMPLETE BLOCK DESIGN (BIBD), REPLICATE CROSSOVER STUDY DESIGN , DIFFERENCE BETWEEN PARALLEL AND CROSSOVER STUDY DESIGN.
Introduction to Research - Biostatistics and Research methodology 8th Sem Uni...Himanshu Sharma
This slide contains B.Pharm Biostatistics and Research methodology 8th Sem. Unit-3 L2 topic- "Introduction to Research"
It contains topics:
1. Introduction to Research
2. Need for Research
3. Need for Design Experiments
4. Experimental Design Techniques
5. Plagiarism
Introduction to Research, Biostatistics, Introduction to Research: Need for research, Need for design of Experiments,
Experiential Design Technique, plagiarism
DESIGN OF EXPERIMENTS (DOE)
DOE is invented by Sir Ronald Fisher in 1920’s and 1930’s.
The following designs of experiments will be usually followed:
Completely randomised design(CRD)
Randomised complete block design(RCBD)
Latin square design(LSD)
Factorial design or experiment
Confounding
Split and strip plot design
FACTORIAL DESIGN
When a several factors are investigated simultaneously in a single experiment such experiments are known as factorial experiments. Though it is not an experimental design, indeed any of the designs may be used for factorial experiments.
For example, the yield of a product depends on the particular type of synthetic substance used and also on the type of chemical used.
ADVANTAGES OF FACTORIAL DESIGN.
Factorial experiments are advantageous to study the combined effect of two or more factors simultaneously and analyze their interrelationships. Such factorial experiments are economic in nature and provide a lot of relevant information about the phenomenon under study. It also increases the efficiency of the experiment.
It is an advantageous because a wide range of factor combination are used. This will give us an idea to predict about what will happen when two or more factors are used in combination.
DISADVANTAGES
It is disadvantageous because the execution of the experiment and the statistical analysis becomes more complex when several treatments combinations or factors are involved simultaneously.
It is also disadvantageous in cases where may not be interested in certain treatment combinations but we are forced to include them in the experiment. This will lead to wastage of time and also the experimental material.
2(square) FACTORIAL EXPERIMENT
A special set of factorial experiment consist of experiments in which all factors have 2 levels such experiments are referred to generally as 2n factorials.
If there are four factors each at two levels the experiment is known as 2x2x2x2 or 24 factorial experiment. On the other hand if there are 2 factors each with 3 levels the experiment is known as 3x3 or 32 factorial experiment. In general if there are n factors each with p levels then it is known as pn factorial experiment.
The calculation of the sum of squares is as follows:
Correction factor (CF) = (𝐺𝑇)2/𝑛
GT = grand total
n = total no of observations
Total sum of squares = ∑▒〖𝑥2−𝐶𝐹〗
Replication sum of squares (RSS) = ((𝑅1)2+(𝑅2)2+…+(𝑅𝑛)2)/𝑛 - CF
Or
1/𝑛 ∑▒𝑅2−𝐶𝐹
2(Cube) FACTORIAL DESIGN
In this type of design, one independent variable has 2 levels, and the other independent variable has 3 levels.
Estimating the effect:
In a factorial design the main effect of an independent variable is its overall effect averaged across all other independent variable.
Effect of a factor A is the average of the runs where A is at the high level minus the average of the runs
you can know about the central composite design, historical design, optimisation techniques and also about the TYPES OF CENTRAL COMPOSITE DESIGN, BOX-BEHNKEN DESIGN, DATA COLLECTION, CRITICISM OF DATA, PRESENTATION OF FACTS, PURPOSE, OPTIMISATION PROCESS, DIFFERENT TYPES PRESENT IN IT AND THEIR CLASSIFICATION AND EXPLANATION.
Effective strategies to monitor clinical risks using biostatistics - Pubrica.pdfPubrica
In clinical science, biostatistics services are essential for data collection, analysis, presentation, and interpretation. Epidemiology, clinical trials, population genetics, systems biology, and other disciplines all benefit from it. It aids in the evaluation of a drug's effectiveness and safety in clinical trials.
Continue Reading: https://bit.ly/3tRRxkW
Reference: https://pubrica.com/services/research-services/biostatistics-and-statistical-programming-services/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us :
Web: https://pubrica.com/
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United Kingdom: +44 1618186353
Define the terms: Statistics and Biostatistics
Discuss the importance of Biostatistics
Differentiate between Population & Sample, Parameter & Statistics
Identify the various sources of data collection
Explain the types of variables
Explore the different types of Measurement scales
Methods of Presenting the data
Tabular Presentation
Textual Presentation
Graphical Presentation
Statistics
Collection, Classification, Organization, Summarization, analysis, Presentation, and Interpretation of the data / information.
Biostatistics
Collection, Classification, Organization, Summarization, Presentation, and Interpretation of the data / information.
If related to Biological or Health sciences called “Biostatistics”
Why do we need to study Biostatistics course?
To learn how to deal with numbers.
To assess evidence from different studies.
To understand published scientific papers.
To do research and write papers in journals.
Population
The set of all the measurements of interest to the investigator.
Monthly income of households in Pakistan
Number of TB Patients in Pakistan
Sample
It is a group of subjects selected from a population
A random sample is a good representative of population
Example
A survey of 1,000 households taken from all parts of Pakistan to assess their monthly income
Parameter
– The characteristics of interest to the researcher in the population is called a parameter.
E.g. average household size and percent of households with modern sanitation as reported in the 1998 census of Karachi
Statistic
– The characteristics of interest to the researcher in the sub-set of population is called a statistic.
E.g. average household size and percent of households as reported from a sample survey of 6,000 households in Karachi, 2010
Descriptive Statistic :
Consists of the collection, organization, summarization and presentation of data.
Inferential Statistic :
Consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables
A Variable is simply what is being observed or measured
The dependent variable is the outcome of interest
The independent variable is the intervention or what is being manipulated
Data
The set of values collected for the variable of each of the elements belonging to the sample
Qualitative Variable:
Variables that can be placed into distinct categories, according to some characteristic or attribute.
Quantitative variables
That have are measured on a numeric
or quantitative scale. Interval and ratio scales are quantitative
Nominal Scale
- It is the first level of measurement
- Named variables
Ordinal Scale
-Data measured at this level can be placed into categories, and these categories can be ordered, or ranked.
Interval scale:
Differences between values have meaning.
Ordered with proportionate difference between variables
Arbitrary Zero (0 will have a meaning)
Ratio scale:
Differences between values have meaning. Absolute Zero (absence)
Effective strategies to monitor clinical risks using biostatistics - Pubrica....Pubrica
In clinical science, biostatistics services are essential for data collection, analysis, presentation, and interpretation. Epidemiology, clinical trials, population genetics, systems biology, and other disciplines all benefit from it. It aids in the evaluation of a drug's effectiveness and safety in clinical trials.
Continue Reading: https://bit.ly/3tRRxkW
Reference: https://pubrica.com/services/research-services/biostatistics-and-statistical-programming-services/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us :
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44 1618186353
Biostatistics in clinical research involves the application of statistical methods to analyze and interpret data from clinical trials. It plays a crucial role in study design, sample size determination, data analysis, and result interpretation. Biostatisticians ensure that clinical research findings are valid, reliable, and meaningful, contributing to evidence-based medicine. Their expertise helps researchers make informed decisions, assess treatment efficacy, and draw accurate conclusions about the safety and effectiveness of interventions.
Biostatistics - the application of statistical methods in the life sciences including medicine, pharmacy, and agriculture.
An understanding is needed in practice issues requiring sound decisions.
Statistics is a decision science.
Biostatistics therefore deals with data.
Biostatistics is the science of obtaining, analyzing and interpreting data in order to understand and improve human health.
Applications of Biostatistics
Design and analysis of clinical trials
Quality control of pharmaceuticals
Pharmacy practice research
Public health, including epidemiology
Genomics and population genetics
Ecology
Biological sequence analysis
Bioinformatics etc.
Frequency Measures Used in EpidemiologyIntroductionIn e.docxMARRY7
Frequency Measures Used in Epidemiology
Introduction
In epidemiological studies, many qualitative variables have only two possible categories, such as
Alive or dead
Case or control
Exposed and unexposed
The frequency measures for dichotomous variable include:
Ratio
Proportion
Rate
( All the above 3 measure are based on the same formula: )
Ratios, Proportion, and Rates Compared
In a ratio, the values of x and y may be completely independent from each other or x is a part of y
For example , the gender of the children attending a specific program could be compared in one of the following ways:
Proportion is a ratio in which X is included in Y
For example , the gender of the children attending a specific program
Rate is a proportion that measures the occurrence of an event in a population over time
Rate = X
Ratios, Proportion, and Rates Compared
Example 1: The following table was part of an article published by Dr. Mshana and his colleagues. The title of this study is “Outbreak of a novel Enterobacter sp. carrying blaCTX-M-15 in a neonatal unit of a tertiary care hospital in Tanzania. ". Please use this table to answer the following questions.
Source: Mshana SE, Gerwing L, Minde M, Hain T, Domann E, Lyamuya E, et al. Outbreak of a novel Enterobacter sp. carrying blaCTX-M-15 in a neonatal unit of a tertiary care hospital in Tanzania. International journal of antimicrobial agents. 2011;38(3):265-9.
4
Example 1
What is the ratio of males to females? 7 : 10
What proportion of premature babies? 12/17=0.706
What proportion of patients were discharged? 11/17=0.647
What is the ratio of prematurity to birth asphyxia ? 12 : 5
Source: Mshana SE, Gerwing L, Minde M, Hain T, Domann E, Lyamuya E, et al. Outbreak of a novel Enterobacter sp. carrying blaCTX-M-15 in a neonatal unit of a tertiary care hospital in Tanzania. International journal of antimicrobial agents. 2011;38(3):265-9.
5
Example 2:
In 1989, 733,151 new cases of gonorrhea were reported among the United States civilian population. The 1989 mid-year U.S. civilian population was estimated to be 246,552,000. What is the 1989 gonorrhea incidence rate for the U.S. civilian population? (For these data we will use a value of 105 for 10n ).
Answer:
Incidence rate = X
Incidence rate = X = 297.4 per 100,000
6
Measures of association:
They are used to quantify the relationship between exposure and disease among two groups
They are used to compare the disease occurrence among one group with the disease occurrence in the another group
They include the following measures based on the study design:
Risk Ratio (RR):
It also called relative risk
It is used to compare the risk of health related events in two groups
The following formula cis used to calculate the RR:
A risk ratio of 1.0 indicates identical risk in the two groups
A risk ratio greater than 1.0 indicates an increased risk for the numerator group
A risk ratio greater than 1.0 ...
Virus, infectious agent of small size and simple composition that can multiply only in living cells of animals, plants, or bacteria. The name is from a Latin word meaning “slimy liquid” or “poison.”
Mycology is the branch of biology concerned with the study of fungi, including their genetic and biochemical properties, their taxonomy and their use to humans as a source for tinder, traditional medicine, food, and entheogens, as well as their dangers, such as toxicity or infection.
In the late 16th century several Dutch lens makers designed devices that magnified objects, but in 1609 Galileo Galilei perfected the first device known as a microscope. Dutch spectacle makers Zaccharias Janssen and Hans Lipperhey are noted as the first men to develop the concept of the compound microscope.
In the late 16th century several Dutch lens makers designed devices that magnified objects, but in 1609 Galileo Galilei perfected the first device known as a microscope. Dutch spectacle makers Zaccharias Janssen and Hans Lipperhey are noted as the first men to develop the concept of the compound microscope.
Microbial Spoilage include the contamination of Pharmaceutical products with the microbes which lead to spoilage of the product affecting Drug safety and quality, and is not intended for use. Shortly Microbial Spoilage is defined as deterioration of pharmaceutical products by the contaminant microbe.
In the late 16th century several Dutch lens makers designed devices that magnified objects, but in 1609 Galileo Galilei perfected the first device known as a microscope. Dutch spectacle makers Zaccharias Janssen and Hans Lipperhey are noted as the first men to develop the concept of the compound microscope.
Bacteria are a type of biological cell. They constitute a large domain of prokaryotic microorganisms. Typically a few micrometres in length, bacteria have a number of shapes, ranging from spheres to rods and spirals. Bacteria were among the first life forms to appear on Earth, and are present in most of its habitats
Microbiology is the study of organisms that are usually too small to be seen by the unaided eye; it employs techniques—such as sterilization and the use of culture media—that are required to isolate and grow these microorganisms.
Bacteria have existed from very early in the history of life on Earth. Bacteria fossils discovered in rocks date from at least the Devonian Period (419.2 million to 358.9 million years ago), and there are convincing arguments that bacteria have been present since early Precambrian time, about 3.5 billion years ago.
Bacteria are microscopic, single-celled organisms that thrive in diverse environments. These organisms can live in soil, the ocean and inside the human gut. Humans' relationship with bacteria is complex. Sometimes bacteria lend us a helping hand, such as by curdling milk into yogurt or helping with our digestion
Bacteria are microscopic, single-celled organisms that thrive in diverse environments. These organisms can live in soil, the ocean and inside the human gut. Humans' relationship with bacteria is complex. Sometimes bacteria lend us a helping hand, such as by curdling milk into yogurt or helping with our digestion
Diuretics, also called water pills, are medications designed to increase the amount of water and salt expelled from the body as urine. There are three types of prescription diuretics. They're often prescribed to help treat high blood pressure, but they're used for other conditions as well.
The main site of diuretic action is well established for the different groups of diuretics: carbonic anhydrase inhibitors act on the proximal tubulus, loop diuretics on the diluting segment, thiazides on the cortical diluting segment/distal tubulus, and potassium-sparing agents on distal tubulus/collecting ducts.
Diuretics, also called water pills, are medications designed to increase the amount of water and salt expelled from the body as urine. There are three types of prescription diuretics. They’re often prescribed to help treat high blood pressure, but they’re used for other conditions as well.
Proton-pump inhibitors are a group of medications whose main action is a pronounced and long-lasting reduction of stomach acid production. Within the class of medications, there is no clear evidence that one agent works better than another. They are the most potent inhibitors of acid secretion available.
The main site of diuretic action is well established for the different groups of diuretics: carbonic anhydrase inhibitors act on the proximal tubulus, loop diuretics on the diluting segment, thiazides on the cortical diluting segment/distal tubulus, and potassium-sparing agents on distal tubulus/collecting ducts.
In conclusion, the present study found that esomeprazole 40 mg daily may be more effective than either omeprazole 20 mg daily, pantoprazole 40 mg daily or lansoprazole 30 mg daily for the rapid relief of heartburn symptoms in patients with endoscopically proven reflux esophagitis.
Mechanisms of diuretic drugs. Diuretic drugs increase urine output by the kidney (i.e., promote diuresis). This is accomplished by altering how the kidney handles sodium. If the kidney excretes more sodium, then water excretion will also increase.
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
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ASA GUIDELINE
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These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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The prostate is an exocrine gland of the male mammalian reproductive system
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A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
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It’s work is regulated by androgens which are responsible for male sex characteristics
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4. 4
• Statistics and its application
• Variables and Attributes
• Classification and tabulation of data
• Populations and samples
• Frequency distributions
• Graphical presentation of data
• Describing and summarizing data: statistical averages & measures of
dispersion.
• Probability and probability distributions.
• Hypothesis testing: concepts, types, p-value.
• Test of significance: Parametric tests (t-test, One way ANOVA, multiple
comparison tests (Bonferoni, Duncan, Dunnet, Tukey), repeated measure
ANOVA;
• Non-parametric tests: Mann-whiteney, Wilcoxon rank test, Kruskal-Wallis test,
multiple comparison tests (Tukey), Friedman's test. Regression (simple linear
& nonparametric regression) and correlation (simple & rank correlation), Chi-
square & odds ratio.
Course Contents
6. 6
1.1 What is Statistics?
Statistics is a scientific study of numerical data based on
natural phenomena.
It is also the science of collecting, organizing, interpreting
and reporting data.
7. 7
Evaluate the activity of a drug; e.g.; effect of caffeine on attention;
compare the analgesic effect of a plant extract and NSAID
To explore whether the changes produced by the drug are due to
the action of drug or by chance
To compare the action of two or more different drugs or different
dosages of the same drug are studied using statistical methods.
To find an association between disease and risk factors such as
Coronary artery disease and smoking
Pharmaceutical statistics is the application of statistics to matters
concerning the pharmaceutical industry. This can be from issues of
design of experiments, to analysis of drug trials, to issues of
commercialization of a medicine.
Statistics and its application
8. 8
Public health, including epidemiology, health services research,
nutrition, environmental health and healthcare policy & management.
Design and analysis of clinical trials in medicine
Population genetics, and statistical genetics in order to link variation
in genotype with a variation in phenotype. In biomedical research,
this work can assist in finding candidates for gene alleles that can
cause or influence predisposition to disease in human genetics
Analysis of genomics data. Example: from microarray or proteomics
experiments. Often concerning diseases or disease stages.
Systems biology for gene network inference or pathways analysis
Demographic studies: Age, gender, height, weight, BMI
Epidemiology: deficiency of iron in anemia, iodized salt and goiter,
hygiene and microbial disease
Statistics and its application
10. 10
Specific number
numerical measurement determined by a
set of data
Example: 65% student use facebook
account
Statistics
11. 11
Statistics
Method of analysis
A collection of methods for planning experiments,
obtaining data, and then organizing, summarizing,
presenting, analyzing, interpreting, and drawing
conclusions based on the data
12. 12
Population
the complete collection of all elements (scores, people,
measurements, and so on) to be studied. The collection is
complete in the sense that it includes all subjects to be
studied.
Population refers to all members of a defined group
Definition
13. 13
Census
the collection of data from every element in a population
Sample
a subcollection of elements drawn from a population
• Example; patients in a hospital would constitute the entire population
for a study of infection control in that hospital. However, for a study of
infected patients in the nation’s hospitals, the same group of patients
would be but a tiny sample. The same group can be a sample for one
question about its characteristics and a population for another
question.
Definition
17. 17
Quantitative data
numbers representing counts or measurements
Qualitative (or categorical or attribute) data
can be separated into different categories that are
distinguished by some nonnumeric characteristics
Definition
18. 18
Quantitative data
Cholesterol level in the blood
Qualitative (categorical or attribute) data
The genders (male/female) of college graduates
Definition
19. 19
Discrete
data result when the number of possible values is
either a finite number or a ‘countable’ number of
possible values
0, 1, 2, 3, . . .
Continuous
(numerical) data result from infinitely many possible
values that correspond to some continuous scale
that covers a range of values without gaps,
interruptions, or jumps
2 3
Definition
20. 20
Discrete
The number of eggs that hens lay; for
example, 3 eggs a day.
Continuous
The amounts of milk that cows produce;
for example, 2.343115 gallons a day.
Definition
21. 21
nominal level of measurement
characterized by data that consist of names, labels,
or categories only. The data cannot be arranged in
an ordering scheme (such as low to high)
Example: survey responses yes, no, undecided
Definition
22. 22
ordinal level of measurement
involves data that may be arranged in some order,
but differences between data values either cannot
be determined or are meaningless
Example: Course grades A, B, C, D, or F
Definition
23. 23
interval level of measurement
like the ordinal level, with the additional property that
the difference between any two data values is
meaningful. However, there is no natural zero
starting point (where none of the quantity is present)
Example: Years 1000, 2000, 1776, and 1492
Definition
24. 24
ratio level of measurement
the interval level modified to include the natural zero
starting point (where zero indicates that none of the
quantity is present). For values at this level,
differences and ratios are meaningful.
Example: Prices of college textbooks
Definition
25. 25
Nominal - categories only
Ordinal - categories with some order
Interval - differences but no natural starting point
Ratio - differences and a natural starting point
Levels of measurement
26. 26
Variables
A variable is just a term for an observation or reading giving
information on the study question to be answered. Blood pressure is a
variable giving information on hypertension. Blood uric acid level is a
variable giving information on gout.
Independent variable is a variable that, for the purposes of the study question
to be answered, occurs independently of the effects being studied.
A variable thought to be the cause of some effect. This term is usually used in
experimental research to denote a variable that the experimenter has
manipulated.
Dependent variable is a variable that depends on, or more exactly is
influenced by, the independent variable.
A variable thought to be affected by changes in an independent variable. You
can think of this variable as an outcome.
27. 27
Variables
In a study on gout, suppose we ask if blood uric acid (level) is a factor
in causing pain. We record blood uric acid level as a measurable
variable that occurs in the patient. Then we record pain as reported by
the patient. We believe blood uric acid level is predictive of pain. In this
relationship, the blood uric acid is the independent variable and pain is
the dependent variable.
28. 28
Variables
Quantitative data are 2 major types: Categorical and Continuous
Categorical (entities are divided into distinct categories):
Binary variable: There are only two categories (e.g. dead or alive).
Nominal variable: There are more than two categories (e.g. whether someone is
an omnivore, vegetarian, vegan, or fruitarian).
Ordinal variable: The same as a nominal variable but the categories have a
logical order (e.g. whether people got a fail, a pass, a merit or a distinction in exam).
Continuous (entities get a distinct score):
Interval variable: Equal intervals on the variable represent equal differences in
the property being measured (e.g. the difference between 6 and 8 is equivalent to
the difference between 13 and 15).
Ratio variable: The same as an interval variable, but the ratios of scores on the
scale must also make sense (e.g. a score of 16 on an anxiety scale means that the
person is, in reality, twice as anxious as someone scoring 8).
29. 29
Control Groups and Placebos
A frequent mechanism to pinpoint the effect of a treatment
and to reduce bias is to provide a control group having all
the characteristics of the experimental group except the
treatment under study.
Example: Paracetamol tablet (drug group) and lactose
tablet (placebo); then compare their effect on fever
reducing property
Basics
30. 30
Case-Control Study
A case-control study is a study in which an experimental group of
patients is chosen for being characterized by some outcome factor, such
as having acquired a disease, and a control group lacking this factor is
matched patient for patient.
STUDY TYPES
Cohort Study
A cohort study starts by choosing groups that have already been
assigned to study categories, such as diseases or treatments, and
follows these groups forward in time to assess the outcomes.
31. 31
Randomized Controlled Trial
The soundest type of study is the randomized controlled trial (RCT), often
called a clinical trial. An RCT is a true experiment in which patients are
assigned randomly to a study category, such as clinical treatment, and
are then followed forward in time (making it a prospective study) and the
outcome is assessed.
STUDY TYPES
Paired and Crossover Designs
Some studies permit a design in which the patients serve as their own
controls, as in a “before-and-after” study or a comparison of two
treatments in which the patient receives both in sequence.
32. 32
STEPS THAT WILL AID IN PLANNING A STUDY
1. Start with objectives. Specify, clearly, unequivocally, a question to be answered about an
explicitly defined population.
2. Develop the background and relevance.
3. Plan your materials. From where will you obtain your equipment?
4. Plan your methods and data. Identify at least 1 measurable variable capable of answering
your question. Define the specific data that will satisfy your objectives and verify that your
methods will provide these data. Develop clearly specified null and alternate hypotheses.
5. Plan data recording. Develop a raw data entry sheet and a spreadsheet to transfer the raw
data to that will facilitate analysis by computer software.
6. Define the subject population, verify that your sampling procedures will sample
representatively.
7. Ensure that your sample size will satisfy your objectives.
8. Anticipate what statistical analysis will yield results that will satisfy your objectives.
9. Plan tests for sampling bias.
10. Plan the bridge from results to conclusions.
11. Anticipate the form in which your conclusions will be expressed
12. Now you can draft an abstract.
Editor's Notes
page 4 of text
Emphasize that a population is determined by the researcher, and a sample is a subcollection of that pre-determined group. For example, if I collect the ages from a section of elementary statistics students, that data would be a sample if I am interested in studying ages of all elementary statistics students. However, if I am studying only the ages of the specific section of elementary statistics, the data would be a population.
page 5 of text
Understanding the difference between discrete versus continuous data will be important in Chapters 4 and 5.
When measuring data that is continuous, the result will be only as precise as the measuring device being used to measure.
page 7 of text
Understanding the differences between the levels of data will help students later in determining what type of statistical tests to use.
Nominal and ordinal data should not be used for calculations (even when assigned ‘numbers’ for computerization) as differences and magnitudes of differences are meaningless.
Students usually have some difficulty understanding the difference between interval and ratio data. Fortunately, interval data occurs in very few instances.