A cohort study is a longitudinal study that follows groups of individuals who are alike in many ways but differ by a certain characteristic, such as exposure to a risk factor. The study monitors the groups for a specified period of time to determine if those exposed to the risk factor experience more of the outcome than the unexposed group. Key features include identifying cohorts prior to the outcome occurring and observing them over time from cause to effect. Cohort studies can be prospective, following groups forward in time, or retrospective, looking back at records to identify exposed and unexposed groups. They are useful for rare exposures and provide direct estimates of risk but require large sample sizes and long follow-up periods.
This document provides an overview of cohort studies. It defines a cohort study as an analytical study that observes groups over time to determine the frequency of disease among those with and without an exposure. Key features discussed include cohorts being identified prior to disease appearance and the study proceeding from cause to effect. Prospective, retrospective, and ambidirectional cohort study designs are described. Steps of cohort studies include selection of study subjects, obtaining exposure data, comparing exposed and unexposed groups, follow up, and analysis of incidence rates.
A cohort study follows groups of individuals (the cohorts) over time to examine how exposures affect outcomes. Key features include:
1. Cohorts are identified prior to the outcome and followed prospectively to determine disease frequency.
2. Cohort studies directly estimate relative risks by comparing disease incidence between exposed and unexposed groups.
3. They provide data on disease progression, risk factors, and natural history that can inform prevention strategies by identifying modifiable risk exposures.
This document summarizes a presentation on cohort studies. It defines a cohort study as one that identifies a group of people who share a common characteristic or experience within a defined time period and follows them over time to determine outcomes. The key features of cohort studies are identified as cohorts being defined prior to disease appearance and studying the frequency of disease in groups over time. Measures of frequency used in cohort studies such as cumulative incidence and incidence density are also defined.
This document discusses cohort studies, including:
- Cohort studies follow groups of individuals over time to study how exposures affect disease outcomes.
- They can be prospective, following individuals not yet exposed, or retrospective, looking back at past exposure and disease data.
- Key elements include selecting study subjects, obtaining exposure data, selecting comparison groups, follow-up, and analysis of incidence rates and risk estimates like relative risk and attributable risk.
- Advantages are direct measurement of disease incidence and relative risks, while disadvantages include large sample sizes required.
Observational analytical and interventional studiesAchyut Raj Pandey
This document provides an overview of different types of epidemiological study designs, including observational analytical studies like cohort and case-control studies, as well as experimental studies. It describes key aspects of cohort and case-control studies such as their designs, advantages, disadvantages, examples, and considerations for conducting them. Cohort studies follow groups over time from exposure to outcome, while case-control studies identify cases and controls and look back from outcome to exposure. Experimental studies actively alter variables to assess relationships between them.
This document discusses different types of epidemiological study designs including analytic, observational, and interventional studies. It provides details on cohort and case-control study designs, including how to select cases and controls, measure exposures and outcomes, analyze results, and consider advantages and limitations. It also defines various measures of mortality such as crude death rate, age-specific mortality rate, and case fatality rate.
This document provides an overview of cohort studies. It defines a cohort study as an analytical study that observes groups over time to determine the frequency of disease among those with and without an exposure. Key features discussed include cohorts being identified prior to disease appearance and the study proceeding from cause to effect. Prospective, retrospective, and ambidirectional cohort study designs are described. Steps of cohort studies include selection of study subjects, obtaining exposure data, comparing exposed and unexposed groups, follow up, and analysis of incidence rates.
A cohort study follows groups of individuals (the cohorts) over time to examine how exposures affect outcomes. Key features include:
1. Cohorts are identified prior to the outcome and followed prospectively to determine disease frequency.
2. Cohort studies directly estimate relative risks by comparing disease incidence between exposed and unexposed groups.
3. They provide data on disease progression, risk factors, and natural history that can inform prevention strategies by identifying modifiable risk exposures.
This document summarizes a presentation on cohort studies. It defines a cohort study as one that identifies a group of people who share a common characteristic or experience within a defined time period and follows them over time to determine outcomes. The key features of cohort studies are identified as cohorts being defined prior to disease appearance and studying the frequency of disease in groups over time. Measures of frequency used in cohort studies such as cumulative incidence and incidence density are also defined.
This document discusses cohort studies, including:
- Cohort studies follow groups of individuals over time to study how exposures affect disease outcomes.
- They can be prospective, following individuals not yet exposed, or retrospective, looking back at past exposure and disease data.
- Key elements include selecting study subjects, obtaining exposure data, selecting comparison groups, follow-up, and analysis of incidence rates and risk estimates like relative risk and attributable risk.
- Advantages are direct measurement of disease incidence and relative risks, while disadvantages include large sample sizes required.
Observational analytical and interventional studiesAchyut Raj Pandey
This document provides an overview of different types of epidemiological study designs, including observational analytical studies like cohort and case-control studies, as well as experimental studies. It describes key aspects of cohort and case-control studies such as their designs, advantages, disadvantages, examples, and considerations for conducting them. Cohort studies follow groups over time from exposure to outcome, while case-control studies identify cases and controls and look back from outcome to exposure. Experimental studies actively alter variables to assess relationships between them.
This document discusses different types of epidemiological study designs including analytic, observational, and interventional studies. It provides details on cohort and case-control study designs, including how to select cases and controls, measure exposures and outcomes, analyze results, and consider advantages and limitations. It also defines various measures of mortality such as crude death rate, age-specific mortality rate, and case fatality rate.
This document discusses experimental studies, specifically randomized controlled trials (RCTs). It describes the key components of RCTs, including developing a protocol, selecting and randomizing study populations, implementing interventions, follow-up, and outcome assessment. The document outlines advantages and limitations of RCTs compared to other experimental study designs. It also discusses various types of RCTs, such as clinical trials, preventive trials, and risk factor trials. Finally, it describes the phases of clinical trials and objectives at each phase.
This document provides an overview of epidemiology study designs, including descriptive epidemiology, analytic epidemiology, experimental studies, and observational studies. It describes the key features and examples of analytic epidemiology, observational cohort studies, case-control studies, and cross-sectional studies. The purpose of analytic epidemiology is to identify and quantify relationships between exposures and health outcomes. Observational studies observe exposures under natural conditions rather than introducing an intervention.
This document discusses cohort studies, including definitions, key elements, types, examples, strengths, and weaknesses. A cohort study examines groups of individuals who are alike in many ways but differ by a certain characteristic (e.g. exposure to a risk factor) and follows them over time to determine outcomes. Key elements include selection of study subjects, obtaining exposure data, follow up, and analysis. The Framingham Heart Study is highlighted as a landmark prospective cohort study that identified many risk factors for cardiovascular disease.
This document provides an overview of case-control and cohort study designs. It defines the basic elements and steps of each design, including selection of cases and controls, measurement of exposure, and analysis. It discusses biases that can occur in each design such as selection, recall, and confounding bias. Advantages and disadvantages of each design are presented, such as the ability of cohort studies to measure incidence but susceptibility to loss to follow up. Analytical studies like case-control and cohort designs are used to test hypotheses about associations between exposures and diseases.
Cohort studies with example of classical cohort studiesshefali jain
This document provides an overview of cohort studies, including:
- Cohort studies involve observing groups of people (cohorts) who are defined by a common characteristic or exposure over time to determine outcomes.
- The key features are identifying cohorts prior to disease appearance and observing them over time to measure disease frequency.
- Examples include the Framingham Heart Study on cardiovascular risk factors and Doll and Hill's British doctor study on smoking and lung cancer.
- Cohort studies can measure incidence, relative risks, and dose-response relationships but require large sample sizes and long durations.
This document outlines different types of epidemiological study designs including observational studies like descriptive studies, analytical studies, ecological studies, cross-sectional studies and case-control studies. It also discusses experimental study designs like randomized controlled trials, field trials and community trials. Key features and steps are provided for case-control studies and cohort studies. Sources of bias and errors in epidemiological studies are also summarized.
A cohort study examines the effect of exposures on a group of subjects over time by collecting data on exposures and outcomes. It has several advantages: the temporal sequence between exposure and outcome provides evidence of causality, multiple outcomes can be examined, and rare exposures can be studied. However, cohort studies are costly, prone to dropout, and require large sample sizes when studying rare outcomes. They also cannot prove causality definitively.
Etiologic research aims to establish causal relationships between determinants and disease outcomes. There are two main observational study designs for etiologic research: cohort studies and case-control studies. Cohort studies follow groups of individuals over time based on exposure to a determinant and compare disease outcome rates. Case-control studies identify cases of a disease and controls without the disease and compare past exposure to determinants. Both study designs are prone to biases like selection bias, information bias, and confounding, which can distort the true determinant-outcome relationship if not adequately addressed.
Screening for diseases sensitivity and specificityDrSumanB
The document discusses screening for diseases. It defines screening as actively searching for unrecognized disease among apparently healthy people using tests or examinations. The goals of screening are to detect disease early when treatment can be most effective and to sort people into those who need medical follow up and those who do not. Key aspects discussed include the difference between screening and diagnostic tests, criteria for effective screening such as diseases amenable to screening, accurate and reliable screening tests, and evaluating screening programs.
Epidemiology methods, approaches and tools of measurement Swapnilsalve1998
Epidemiology is the study of disease patterns in populations. It involves describing disease occurrence, identifying risk factors, and applying findings to disease control. Descriptive epidemiology involves defining the population and disease, then describing disease characteristics by time, place, and person. Analytical epidemiology involves observational studies like case-control and cohort studies to identify risk factors and test hypotheses. Experimental epidemiology uses randomized controlled trials to test interventions and evaluate disease prevention measures. The goal of epidemiology is to control health problems in populations.
2010-Epidemiology (Dr. Sameem) basics and priciples.pptAmirRaziq1
Epidemiology is the study of the distribution and determinants of health-related states in populations. There are three main types of epidemiological studies: observational studies which examine risk factors without interfering; experimental (interventional) studies which manipulate factors; and descriptive studies which show disease patterns and frequencies. Case-control studies are retrospective and compare exposures in cases (diseased) and controls (non-diseased) to identify risk factors. Cohort studies are prospective and follow exposure groups over time to calculate disease incidence and identify risk factors. Cross-sectional studies provide a snapshot of disease prevalence and help generate hypotheses for further research.
This document provides an overview of different research methods and designs used in health research. It begins with an introduction to research and outlines quantitative and qualitative research designs. Quantitative designs discussed include descriptive, correlational, causal-comparative, experimental, and cross-sectional studies. Qualitative designs explored are case studies and qualitative methods. Other study types covered are cohort and case-control studies. Randomized controlled trials are also summarized, outlining key aspects like random assignment, control and experimental groups, and blinding. The document provides examples and explanations of each research method and design.
Definition, types, tools and uses of.pptxFeniksRetails
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in populations and the application of this study to control health problems. There are two main types of epidemiological study: observational (descriptive and analytical) and experimental/interventional. Descriptive studies describe disease distribution by person, place, and time while analytical studies, including case-control and cohort designs, are used to identify risk factors. The main tools of epidemiology include rates, ratios, and proportions. Epidemiology is used to study disease trends over time, identify high-risk groups, inform healthcare planning and evaluation, and search for disease causes and risk factors.
Cohort, case control & survival studies-2014Ramnath Takiar
The presentation discusses about Cohort, Case-control and Survival studies. The concept of Cohort and Case-control studies is explained with the help of diagrams as perceived by me. Some discussion is also there about survival and relative survival. Appropriate data is also provided to explain about survival and relative survival.
This document discusses case control and cohort studies. A case control study is a retrospective observational study that compares exposures in cases (people with a disease) to controls (people without the disease). Key steps include selecting cases and controls, measuring exposure, and calculating odds ratios to estimate disease risk. A cohort study is a prospective observational study that follows groups over time to determine disease frequencies. Cohorts are identified and data on exposure is collected before outcomes occur. Incidence rates and relative risks are calculated by comparing disease occurrence between exposed and unexposed groups. Both study designs have advantages and disadvantages for estimating disease risk factors.
This document discusses different epidemiological study designs used to study the distribution and determinants of health-related events in populations. It describes descriptive epidemiology which observes disease distribution and identifies associated characteristics. Descriptive studies define the population, disease, measure disease occurrence and describe patterns. Analytical epidemiology comprises observational case-control and cohort studies, which can determine associations between disease and suspected factors. Case-control studies compare exposure in cases vs controls, while cohort studies follow groups over time from exposure to disease. Their strengths and limitations are provided.
This document discusses epidemiologic study designs. It begins by defining epidemiology and outlining the objectives of epidemiology. The document then explains the hierarchy of epidemiologic designs, including observational studies like case reports, case series, cross-sectional studies, and analytical studies like case-control and cohort studies. For each study design, the document provides examples and discusses their strengths and limitations for investigating disease determinants and establishing causality. It concludes by noting experimental studies allow investigators to determine and control interventions to evaluate preventive and therapeutic measures.
This document provides an overview of case-control studies. It defines a case-control study as one where subjects are selected based on whether they have or do not have a particular disease, and then compared with respect to exposure history. It discusses when case-control studies are desirable, how to select cases and controls, sources of cases and controls, ascertainment of disease and exposure status, and analysis. The key aspects covered include definition, study design, selection of cases and controls, and methodology.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This document discusses experimental studies, specifically randomized controlled trials (RCTs). It describes the key components of RCTs, including developing a protocol, selecting and randomizing study populations, implementing interventions, follow-up, and outcome assessment. The document outlines advantages and limitations of RCTs compared to other experimental study designs. It also discusses various types of RCTs, such as clinical trials, preventive trials, and risk factor trials. Finally, it describes the phases of clinical trials and objectives at each phase.
This document provides an overview of epidemiology study designs, including descriptive epidemiology, analytic epidemiology, experimental studies, and observational studies. It describes the key features and examples of analytic epidemiology, observational cohort studies, case-control studies, and cross-sectional studies. The purpose of analytic epidemiology is to identify and quantify relationships between exposures and health outcomes. Observational studies observe exposures under natural conditions rather than introducing an intervention.
This document discusses cohort studies, including definitions, key elements, types, examples, strengths, and weaknesses. A cohort study examines groups of individuals who are alike in many ways but differ by a certain characteristic (e.g. exposure to a risk factor) and follows them over time to determine outcomes. Key elements include selection of study subjects, obtaining exposure data, follow up, and analysis. The Framingham Heart Study is highlighted as a landmark prospective cohort study that identified many risk factors for cardiovascular disease.
This document provides an overview of case-control and cohort study designs. It defines the basic elements and steps of each design, including selection of cases and controls, measurement of exposure, and analysis. It discusses biases that can occur in each design such as selection, recall, and confounding bias. Advantages and disadvantages of each design are presented, such as the ability of cohort studies to measure incidence but susceptibility to loss to follow up. Analytical studies like case-control and cohort designs are used to test hypotheses about associations between exposures and diseases.
Cohort studies with example of classical cohort studiesshefali jain
This document provides an overview of cohort studies, including:
- Cohort studies involve observing groups of people (cohorts) who are defined by a common characteristic or exposure over time to determine outcomes.
- The key features are identifying cohorts prior to disease appearance and observing them over time to measure disease frequency.
- Examples include the Framingham Heart Study on cardiovascular risk factors and Doll and Hill's British doctor study on smoking and lung cancer.
- Cohort studies can measure incidence, relative risks, and dose-response relationships but require large sample sizes and long durations.
This document outlines different types of epidemiological study designs including observational studies like descriptive studies, analytical studies, ecological studies, cross-sectional studies and case-control studies. It also discusses experimental study designs like randomized controlled trials, field trials and community trials. Key features and steps are provided for case-control studies and cohort studies. Sources of bias and errors in epidemiological studies are also summarized.
A cohort study examines the effect of exposures on a group of subjects over time by collecting data on exposures and outcomes. It has several advantages: the temporal sequence between exposure and outcome provides evidence of causality, multiple outcomes can be examined, and rare exposures can be studied. However, cohort studies are costly, prone to dropout, and require large sample sizes when studying rare outcomes. They also cannot prove causality definitively.
Etiologic research aims to establish causal relationships between determinants and disease outcomes. There are two main observational study designs for etiologic research: cohort studies and case-control studies. Cohort studies follow groups of individuals over time based on exposure to a determinant and compare disease outcome rates. Case-control studies identify cases of a disease and controls without the disease and compare past exposure to determinants. Both study designs are prone to biases like selection bias, information bias, and confounding, which can distort the true determinant-outcome relationship if not adequately addressed.
Screening for diseases sensitivity and specificityDrSumanB
The document discusses screening for diseases. It defines screening as actively searching for unrecognized disease among apparently healthy people using tests or examinations. The goals of screening are to detect disease early when treatment can be most effective and to sort people into those who need medical follow up and those who do not. Key aspects discussed include the difference between screening and diagnostic tests, criteria for effective screening such as diseases amenable to screening, accurate and reliable screening tests, and evaluating screening programs.
Epidemiology methods, approaches and tools of measurement Swapnilsalve1998
Epidemiology is the study of disease patterns in populations. It involves describing disease occurrence, identifying risk factors, and applying findings to disease control. Descriptive epidemiology involves defining the population and disease, then describing disease characteristics by time, place, and person. Analytical epidemiology involves observational studies like case-control and cohort studies to identify risk factors and test hypotheses. Experimental epidemiology uses randomized controlled trials to test interventions and evaluate disease prevention measures. The goal of epidemiology is to control health problems in populations.
2010-Epidemiology (Dr. Sameem) basics and priciples.pptAmirRaziq1
Epidemiology is the study of the distribution and determinants of health-related states in populations. There are three main types of epidemiological studies: observational studies which examine risk factors without interfering; experimental (interventional) studies which manipulate factors; and descriptive studies which show disease patterns and frequencies. Case-control studies are retrospective and compare exposures in cases (diseased) and controls (non-diseased) to identify risk factors. Cohort studies are prospective and follow exposure groups over time to calculate disease incidence and identify risk factors. Cross-sectional studies provide a snapshot of disease prevalence and help generate hypotheses for further research.
This document provides an overview of different research methods and designs used in health research. It begins with an introduction to research and outlines quantitative and qualitative research designs. Quantitative designs discussed include descriptive, correlational, causal-comparative, experimental, and cross-sectional studies. Qualitative designs explored are case studies and qualitative methods. Other study types covered are cohort and case-control studies. Randomized controlled trials are also summarized, outlining key aspects like random assignment, control and experimental groups, and blinding. The document provides examples and explanations of each research method and design.
Definition, types, tools and uses of.pptxFeniksRetails
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in populations and the application of this study to control health problems. There are two main types of epidemiological study: observational (descriptive and analytical) and experimental/interventional. Descriptive studies describe disease distribution by person, place, and time while analytical studies, including case-control and cohort designs, are used to identify risk factors. The main tools of epidemiology include rates, ratios, and proportions. Epidemiology is used to study disease trends over time, identify high-risk groups, inform healthcare planning and evaluation, and search for disease causes and risk factors.
Cohort, case control & survival studies-2014Ramnath Takiar
The presentation discusses about Cohort, Case-control and Survival studies. The concept of Cohort and Case-control studies is explained with the help of diagrams as perceived by me. Some discussion is also there about survival and relative survival. Appropriate data is also provided to explain about survival and relative survival.
This document discusses case control and cohort studies. A case control study is a retrospective observational study that compares exposures in cases (people with a disease) to controls (people without the disease). Key steps include selecting cases and controls, measuring exposure, and calculating odds ratios to estimate disease risk. A cohort study is a prospective observational study that follows groups over time to determine disease frequencies. Cohorts are identified and data on exposure is collected before outcomes occur. Incidence rates and relative risks are calculated by comparing disease occurrence between exposed and unexposed groups. Both study designs have advantages and disadvantages for estimating disease risk factors.
This document discusses different epidemiological study designs used to study the distribution and determinants of health-related events in populations. It describes descriptive epidemiology which observes disease distribution and identifies associated characteristics. Descriptive studies define the population, disease, measure disease occurrence and describe patterns. Analytical epidemiology comprises observational case-control and cohort studies, which can determine associations between disease and suspected factors. Case-control studies compare exposure in cases vs controls, while cohort studies follow groups over time from exposure to disease. Their strengths and limitations are provided.
This document discusses epidemiologic study designs. It begins by defining epidemiology and outlining the objectives of epidemiology. The document then explains the hierarchy of epidemiologic designs, including observational studies like case reports, case series, cross-sectional studies, and analytical studies like case-control and cohort studies. For each study design, the document provides examples and discusses their strengths and limitations for investigating disease determinants and establishing causality. It concludes by noting experimental studies allow investigators to determine and control interventions to evaluate preventive and therapeutic measures.
This document provides an overview of case-control studies. It defines a case-control study as one where subjects are selected based on whether they have or do not have a particular disease, and then compared with respect to exposure history. It discusses when case-control studies are desirable, how to select cases and controls, sources of cases and controls, ascertainment of disease and exposure status, and analysis. The key aspects covered include definition, study design, selection of cases and controls, and methodology.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
Cohort Studymnk.pptx
1. Definitio
n
1
• Cohort study is a type of analytical study which
is undertaken to obtain additional evidence to
refute or support existence of association
between suspected cause and diseases.
• Derived from the Latin “cohorts” meaning an
enclosure, company, or crowd.
• Other names: Longitudinal study, Incidence
study,forward looking study,cause to effect
study,exposure to outcome study,follow-up study
2. Features
2
• Cohorts are identified prior to appearance of
disease under investigation.
• The study groups are observed over a period of
time to determine the frequency of disease among
them.
• The study proceeds from CAUSE to EFFECTS.
3. Indications
3
• There is good evidence of an association between
exposure and disease, from other studies.
• Exposure is rare.
• Attrition of study population can be minimized.
• Sufficient fund is available.
5. Consideration during
selection
• The cohort must be free from disease under study.
• In so far as the knowledge permits, both the groups should
be equally susceptible to disease under study.
• Both the groups must be comparable in respect of all
variable which influence the occurrence of disease.
• Diagnostic and eligibility criteria of the disease must be
defined beforehand.
. 8
6. Types of cohort
study
6
• Prospective study
• Retrospective cohort study
• Ambi-directional cohort study- Combination
of both Prospective and Retrospective Study
7. Prospective cohort
study
7
• It begins in the present and continues in the future
and then terminates.
• The outcome has not yet occurred at the time the
investigation begins .
• Both groups are then observed over a specified
period to find out the risk each group has of
developing the condition(s) of interest.
8. Example of Prospective
Cohort Study
Framework
•
•
•
•
•
Framingham Heart Study
Initiated in 1948 to study the
relationship of a variety of factors to
the subsequent development of heart
disease with 5127
samples( 30 to 59 yrs ) at
Framingham.
Study subjects were examined
every 2 yrs for 20 years.
Daily Surveillance of
hospitalization at Framingham
hospital.
Study found that Hypertensive,
tobacco smoking, elevated blood
cholesterol are associated to CHD
Increased physical activity associated
with decreased risk of CHD
11
10. Retrospective Cohort
Study
10
• A retrospective cohort study is one in which the
outcome have all occurred before the start of
investigation.
• Investigator goes back to the past to select study
group from existing records of the past
employment, medical and other records and
traces them forward through time from the past
date fixed on the records usually to the present
11. Example of Retrospective
Study
11
• Suppose that we began our
study on association between
smoking habit and lung cancer
in 2008
• Now we find that an old roster
of elementary school children
from 1988 is available in our
community, and that they had
been surveyed regarding their
smoking habits in 1998.
• Using these data resources in
2008, we can begin to
determine who in this
population has developed lung
cancer and who has not.
12. Ambi-directional cohort
Study
12
• Elements of prospective and retrospective
cohort are combined.
• The Cohort is identified from past records and
assess of date for the outcome. The same
cohort is the followed up prospectively into
future for the further assessment of outcome.
13. Example of Ambi-
directional
cohort study
13
• Curt- Brown and Dolls study on effects of
radiation Began in 1955 with 13,352 patients
who received large dose of radiation therapy for
ankylosing spondylitis between 1934 to1954.
• Outcome evaluated was death from Leukemia or
aplastic anemia between 1934 to 1954.
• A prospective component was added up in 1955
and surviving subjects were followed up to
identify deaths in subsequent years
16. 1. Selection of study
subjects
16
The usual procedure is to locate or identify the cohort, which may be
a total population in an area or sample there of. Cohort can be:
• community cohort of specific age and sex;
• exposure cohort e.g. radiologists, smokers, users of oral
contraceptives;
• birth cohort ;
• occupational cohort e.g. miners, military personnel;
• marriage cohort;
• diagnosed or treated cohort, e.g. cases treated with
radiotherapy, surgery, hormonal treatment.
17. 2. Obtaining data on
Exposure
17
• From Cohort Members : Personal interview,
mailed questionnaire.
• Review of Records : Certain kinds of information like
dose of radiation, kinds of surgery received can
only be obtained from medical records.
• Medical examination/ Special tests: In some
cases information needs to be obtained from
medical examination like in case of blood
pressure, serum cholesterol,
• Environmental Survey of location where cohort
lives.
18. Information should be collected in a manner
that allows classification of cohort according
to
• whether or not they have been exposed to
suspected factor
• According to level or degree of exposure
• Demographic variables which might influence
frequency of disease under investigation
18
19. 3. Selection of Comparison
Group
19
Comparison
Internal
Group :
Single Cohort enters the
study and its members on
the basis of information
obtained
classified
, can be
into several
comparison according to
degree of exposure
Classification
of exposure
No. of
Deaths
Death rate
½ pack 24 95.2
½ to 1 pack 84 107.82
1-2 pack 90 229.2
+ 2 pack 97 264.2
Age Standardized death rate among
100000 men per year according to
amount of cigarette smoking
20. External Comparison Group: when information on
degree of exposure is not available.
if all workers at the factory had some degree of
exposure, we would need to select a comparison
group from another population, possibly another
type of factory
Comparison with general population can also be
used as comparison group
20
21. 4. Follow
UP
21
• The length of follow-up that is needed for some
studies to reach a satisfactory end- point, when a
large enough proportion of the participants have
reached an outcome, may be many years or even
decades.
• At the start of study, method should be
determined depending on the outcome of study
to obtain data for assessing outcome.
22. Procedure may be:
• Periodic medical examination of each member
of cohort
• Reviewing physician and hospital records
• Routine surveillance of death records
• Mailed questionnaire, telephone calls and
periodic home visits
22
23. 5. Analysis
23
Data analyzed in terms of
A. Incidence rate of outcome among
exposed and non exposed
B. Estimation of risk
24. A - Incidencerate
30
In a cohort study, we can determine
incidence rates directly in those
exposed and non-exposed
25. Death No death Incidence
rate
Total
Exposed A B A/(A+B) A + B
Unexpos
ed
C D C/(C+D) C + D
Total A + C B + D A+B+C+
D
Outcome*
CALCULATION OF INCIDENCE RATES
25
* Outcome : death/disease
26. A = Exposed persons who later develop disease or die
B = Exposed persons who do not develop diseases or die
C = Unexposed persons who later develop disease or die
D = Unexposed persons who do not develop diseases or die
26
The total number of exposed persons = A + B
The total number of unexposed persons = C + D
Incidence of disease(or death) among exposed= A/A+B
Incidence of disease(or death) among non-exposed= C/C+D
27. 27
B.-Estimation of Risk
The next steps is to estimate the outcome in exposed and non-
exposed cohorts that is done by
• RELATIVE RISK
• ATTRIBUTABLE RISK
28. 28
Risk in exposed(Incidence in exposed group)
(RR) =
Risk in non exposed(Incidence in non exposed group)
• Estimates the magnitude of an association between
exposure and disease
• Indicates the likelihood of developing the
disease in the exposed group relative to
those who are not exposed
• Relative Risk(RR)-Ratio of risk of disease in
exposed to the risk of disease in nonexposed
Relative Risk
(RR)
30. Rate: Incidence rate
30
•Incidence of Resp. Infection among exposed
children: 300
500 = 60%
•Incidence of Resp. Infect. Among non exposed
children: 120
500 = 24%
31. Cohort Study (cont.)
Relative Risk: Incidence rate among exposed
Risk Ratio Incidence rate in non exposed.
31
60
24 = 2.5
Exposed individuals are 2.5 times more likely to
develop disease than non exposed individuals.
32. Attributable risk
32
•
Attributable risk
• Difference in incidence rate of disease between exposed
and non-exposed group
• Indicates to what extent the disease under study can be
attributed to the exposure
• No. of cases among the exposed that could be
eliminated if the exposure were removed
Incidence in exposed - Incidence in unexposed
Incidence rate among exposed
X100
33. Incidence AR
Yes
Yes No
100 1900 2000 0.05
No 80 7920 8000 0.01
180 9820 10000
AR: Smoking and Lung
cancer
33
Smoking
0.04
Lung Cancer
Attributable risk = Incidence in exposed - Incidence in unexposed
=0.05-0.01
=0.04
34. Population Attributable Risk
(PAR)
34
• Excess risk of disease in total population
attributable to exposure
• Reduction in risk which would be achieved if
population entirely unexposed
• Helps determining which exposures relevant
to public health in community
PAR Ipopulation- Iunexposed
35. PAR:
Smoking
35
0.018
PAR%
0.018- 0.010
x100 44%
Yes 100 1900 2000 Incidence in exposed= 0.050
No 80 7920 8000 Incidence in unexposed=0.010
180 9820 10000 Incidence in population=0.018
PAR 0.018- 0.010 0.008
Smoking
Lung Cancer
Yes No Total Risk
36. Conclusion:
36
44% of lung cancer in the population could be
prevented if use of smoking were eliminated
37. Advantage of Cohort
Studies
37
• Incidence can be calculated.
• Several possible outcome related to exposure
can be studied simultaneously.
• Provide direct estimate of risk.
• Since comparison groups are formed before
disease develops certain forms of bias can be
minimized like misclassification bias.
• Allows the conclusion of cause effect
relationship
38. Disadvantage of Cohort
Studies
38
• Large population is needed
• Not suitable for rare diseases.
• It is time consuming and expensive.
• Certain administrative problems like loss of staff,
loss of funding and extensive record keeping are
common.
• Problem of attrition of initial cohort is common.
• Study itself may alter people’s behavior.
39. When Is a Cohort Study
Warranted?
39
• When the (alleged) exposure is known
• When exposure is rare and incidence of disease
among exposed is high (even if the exposure is
rare, determined investigators will identify
exposed individuals)
• When the time between exposure and disease is
relatively short
• When adequate funding is available
• When the investigator has a long life expectancy
40. Referenc
e
40
• Park.k.,(2015), Park’s textbook of preventive and
social medicine(23th edition)
• Gordis.L.,(2014), Epidemiology.,(5th edition)
• Framimgham Heart study retrived from
www.framingham.com/heart/timeline.htm,on 29th
Jan,2011.