This document provides an overview of key concepts for analyzing medical data from a research perspective, including:
- Statistical concepts important for medical licensing exams like scales of measurement, distributions, hypothesis testing, and study designs.
- How to determine what data is available to answer a clinical question, locate existing datasets, and analyze/interpret findings using software like Excel and SPSS.
- Resources for further learning about epidemiology, health statistics, diagnostic tests, and using statistical software.
Research Methodology In Medical Research. This presentation gives an comprehensive overview of research methodology in biomedical research also includes different types of medical research and ethics in medical research.
Research Methodology In Medical Research. This presentation gives an comprehensive overview of research methodology in biomedical research also includes different types of medical research and ethics in medical research.
Basics of Systematic Review and Meta-analysis: Part 3Rizwan S A
A 4 part lecture series on the basics of Systematic Review and Meta-analysis, Part 3 discusses the software needed and analytical techniques used for this purpose.
Introduction to meta-analysis (1612_MA_workshop)Ahmed Negida
Chapter 1: Introduction to Meta-analysis
- From the 1612 MA Workshop that will be held on 11th, December, 2016 at Dokki, Giza, Egypt
- Workshop instructor: Mr. Ahmed Negida, MBBCh candidate
Data
Information
Intelligence
Health information system
Sources of data
Census
Registration of vital events
Sample registration system
Notification of diseases
Hospital records
Disease registers
Record linkage
Epidemiological surveillance
Other health service records
Environmental health data
Health manpower statistics
Population surveys
Other routine statics related to health
Non – quantifiable information
Health management information system
Central Bureau of health Ingelligence
National health profile
WHO Reports
Global Health Observatory
World bank
Health stats
5 essential steps for sample size determination in clinical trials slidesharenQuery
In this free webinar hosted by nQuery Researcher & Statistician Eimear Keyes, we map out the 5 essential steps for sample size determination in clinical trials. At each step, Eimear will highlight the important function it plays and how to avoid the errors that will negatively impact your sample size determination and therefore your study.
Watch the Video: https://www.statsols.com/webinar/the-5-essential-steps-for-sample-size-determination
How to scientifically conduct a clinical professional research trial? In the current era of Collaborate or parish, we need to keep this design in our mind.
Enjoy
@copyLeft
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.
Basics of Systematic Review and Meta-analysis: Part 3Rizwan S A
A 4 part lecture series on the basics of Systematic Review and Meta-analysis, Part 3 discusses the software needed and analytical techniques used for this purpose.
Introduction to meta-analysis (1612_MA_workshop)Ahmed Negida
Chapter 1: Introduction to Meta-analysis
- From the 1612 MA Workshop that will be held on 11th, December, 2016 at Dokki, Giza, Egypt
- Workshop instructor: Mr. Ahmed Negida, MBBCh candidate
Data
Information
Intelligence
Health information system
Sources of data
Census
Registration of vital events
Sample registration system
Notification of diseases
Hospital records
Disease registers
Record linkage
Epidemiological surveillance
Other health service records
Environmental health data
Health manpower statistics
Population surveys
Other routine statics related to health
Non – quantifiable information
Health management information system
Central Bureau of health Ingelligence
National health profile
WHO Reports
Global Health Observatory
World bank
Health stats
5 essential steps for sample size determination in clinical trials slidesharenQuery
In this free webinar hosted by nQuery Researcher & Statistician Eimear Keyes, we map out the 5 essential steps for sample size determination in clinical trials. At each step, Eimear will highlight the important function it plays and how to avoid the errors that will negatively impact your sample size determination and therefore your study.
Watch the Video: https://www.statsols.com/webinar/the-5-essential-steps-for-sample-size-determination
How to scientifically conduct a clinical professional research trial? In the current era of Collaborate or parish, we need to keep this design in our mind.
Enjoy
@copyLeft
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.
Andrew Satz, Co-Founder of MetrixLabs spoke to us about the realities of data science, artificial intelligence and machine learning and how they will affect patient outcomes.
2019/ 10/ 3 Originality Report
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%76
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SafeAssign Originality Report
(Current Semester - الفصل الحالي)HCM-506: Appli… • Turnitin Plagiarism Checker
%78Total Score: High risk
MOHAMMED ALAHMARI
Submission UUID: bb3877b1-b988-b7a4-d1fe-181d2a593cc1
Total Number of Repo…
1
Highest Match
78 %
777777.docx
Average Match
78 %
Submitted on
10/03/19
04:11 PM GMT+3
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Highest: 777777.docx
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https://lms.seu.edu.sa/webapps/mdb-sa-BBLEARN/originalityReport?attemptId=e1d43d9e-4014-4800-b247-3cde10d511b6&course_id=_65931_1&download=true&includeDeleted=true&print=true&force=true
2019/ 10/ 3 Originality Report
inalityReport/ultra?attemptId=e1d43d9e-4014-4800-b247-3cde10d511b6&course_id=_65931_1&includeDeleted=true&print=true&download=true… 2/4
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Homework statistics
Title: Homework statistics chapter 7
Name: Date:
Introduction: The most usual applications of Statistics is describing a set of data descriptive statistics, regression, and
hypothesis testing and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not
have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. Descriptive
Statistics Definition
The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The
statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics
gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be
graphical or quantitative. Inferential Statistics Definition
Inferential statistics is the type of statistics which deals with making conclusions. It inferences about the predictions for the
population. It also analyses the sample. Basically, the inferential statistics is the procedure of drawing predictions and
conclusions about the given data which is subjected to the random variations. Inferential statistics includes detection and
prediction of observational and sampling errors. This type of statistics is being utilized in order to make estimates and test the
hypotheses using given data. There are two major divisions of inferential statistics: 1) Confidence Interval: The
confidence interval is represented in the form of an interval that provides a range for the parameter of given population. 2)
Hypothesis Test: Hypothesis tests are also known as tests of significance which tests some claim for the population by analyzing
sample. In this pape ...
Biostatistics (also known as biometry) are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Epidemiologists spend much of their time analyzing data and eval.docxtheodorelove43763
Epidemiologists spend much of their time analyzing data and evaluating the validity of the sources of their data. Measure of occurrence refers to the quantifying (count, ratio, proportion, rate, prevalence, and incidence) of events (Friis & Sellers, 2021). Data sources are critical elements that provide foundation and grounding for research. It is important to attain and evaluate the validity of data sources. Data sources require analysis and interpretation.
In this Assignment, you are presented with a scenario in the “To prepare for this Assignment” section, where you are asked to search and interpret the meaning of the data. You will also determine the probable source and validity of the data. You will search in the Walden Library for scholarly articles and identify data using the sources of data provided to you in the Learning Resources to complete this Assignment.
Reference:
Friis, R.H., & Sellers, T.A. (2021)
. Epidemiology for public health practice
(6th ed). Jones & Bartlett Learning.
To prepare
for this Assignment:
Refer to the health issue you selected in Week 1.
Perform a search in the Walden Library, and identify
at least two
recent scholarly articles (no older than 3 years of publication) related to the health issue you have chosen.
Perform a search of sources of data provided to you in the Learning Resources to identify data relevant to the health issue you have chosen.
Review the following scenario:
Imagine that you work for a state health department monitoring trends in the occurrence of various reportable infectious diseases, as well as major chronic diseases. As you compare this year's trends with last year's, you notice an increase in the occurrence of the disease that you chose.
Keep in mind, that some factors may cause an increase in incidence but, not necessarily, represent a true increase nor an epidemic.
With this scenario in mind, write a 2- to 3-page paper that addresses the following:
Identify ebola the health issue you have selected.
Identify and describe
at least two factors
that might lead to an increase of new cases (incidence) of your health issue but not represent an outbreak or epidemic. Explain your thinking.
Example factors include screenings, testing, changes in diagnostic criteria, policies, laws, campaigns, etc.
Identify and describe the descriptive epidemiologic factors (person/place/time) you would use to evaluate populations at risk (i.e., what factors are relevant for your health issue within the categories of person, place, and time). Using the scholarly resources that you identified, support and explain your thinking.
Identify and explain who is more at-risk for the health issue based on the epidemiologic factors. Provide data and statistical evidence from the sources you identified to support your response. Explain your thinking.
Note
: Be sure to support your work with specific citations from this week's Learning Resources and additional scholarly so.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Analysis Of Medical Data
1. Analysis of Medical Data Research Perspective Nancy B. Clark. M.Ed. Director of Medical Informatics Education FSU College of Medicine Spring 2004 http://www.med.fsu.edu/informatics
10. Statistical Significance Type I and Type II errors Null Hypothesis = H o Type II error Correct decision Do Not Reject H o Correct decision Type I error Reject H o H o False H o True
![Objectives ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)