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CERTaIN

Comparative Effectiveness Research Training and Instruction (CERTaIN),

In this course, you will be introduced to basic statistics and study designs used in CER/PCOR and the ethical considerations to take into account when conducting CER/PCOR.

This introductorycourse includes 4 lectures:

Basic Statistics for PCOR/CER I

Basic Statistics for PCOR/CER II

Ethics

Introduction to Comparative Effectiveness and Patient-Centered Outcomes Research

This course is intended for anyone interested in CER/ PCOR methods.

This course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality.

What you'll learn

  • Describe basic statistical methods used for CER/PCOR
  • List ethical considerations for CER/PCOR
  • Define CER/PCOR and describe examples of each
  • Sampling methods
  • Stratification and controlling for bias and confounding
  • Study power
  • Sample size
  • Common study designs
  • Types of data
  • Parametric and non-parametric measures
  • Relationship between sample size and standard deviation
  • Odds ratios and relative risks
  • P-values and confidence intervals
  • Seven principles of research ethics and their application to CER/PCOR
  • History of ethics in research
  • Examples of CER/PCOR
  • CER vs. randomized controlled trials
  • Patient-centered outcomes Research Institute (PCORI)

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Length 3 weeks
Effort 1 - 2 hours per week
Starts On Demand (Start anytime)
Cost $249
From MDAndersonX, The University of Texas MD Anderson Cancer Center in Houston via edX
Instructor Maria E. Suarez-Almazor, MD, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Analysis & Statistics Health & Safety

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Rating Not enough ratings
Length 3 weeks
Effort 1 - 2 hours per week
Starts On Demand (Start anytime)
Cost $249
From MDAndersonX, The University of Texas MD Anderson Cancer Center in Houston via edX
Instructor Maria E. Suarez-Almazor, MD, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Analysis & Statistics Health & Safety

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