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CERTaIN

Comparative Effectiveness Research Training and Instruction (CERTaIN),

In this course, experts will discuss the options a researcher must consider when embarking on clinical research. What research design should I choose? How do I start the process of getting my research approved? How will I analyze the data I collect? These are all important questions that a researcher faces.

We will discuss the key decisions a researcher needs to make when preparing for and conducting research, as well as tools for data analysis. You will learn what a pragmatic clinical trial is and how to calculate power and sample size for your study. You will also be exposed to more complex study designs sometimes used in pragmatic clinical trials, such as Bayesian and adaptive designs.

This course includes the following 11 lectures:

Overview of Design Options for Pragmatic Clinical Trials

Outcome Measures in Clinical Trials

Non-inferiority Trials

Basic Analytic Methods

Basic Power and Sample Size Calculations

SMART: Adaptive Treatment Strategies

Introduction to Bayesian Methods

Bayesian Designs

Quasi-Experiment in Health Services Research

Adaptive Trial Design

Logistics of Clinical Trials

This course is intended for anyone interested in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods.

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

What you'll learn

  • Describepragmatic clinical trial designs
  • Identify and classify clinical trial designs
  • Describe the statistical methods used to analyze pragmatic clinical trial data

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Rating Not enough ratings
Length 3 weeks
Effort 3 weeks, 4–5 hours per week
Starts On Demand (Start anytime)
Cost $249
From MDAndersonX, The University of Texas MD Anderson Cancer Center in Houston via edX
Instructors Maria E. Suarez-Almazor, MD, PhD, Barry R. Davis, 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 3 weeks, 4–5 hours per week
Starts On Demand (Start anytime)
Cost $249
From MDAndersonX, The University of Texas MD Anderson Cancer Center in Houston via edX
Instructors Maria E. Suarez-Almazor, MD, PhD, Barry R. Davis, 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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