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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
  • Types of trial designs including randomized clinical trials
  • Sources of errors that could lead to erroneous trial results
  • Measuring health status and disease
  • Characteristics of a good outcome measure
  • Types of outcome measures in clinical trials
  • Non-inferiority trial designs and how they differ from other designs
  • Interpretation and reporting of results
  • Matching research questions with statistical analysis methods
  • Interpreting results
  • Distinguishing intent to treat from per protocol analyses
  • Problems with missing data
  • Relevant issues to estimate sample size in clinical trials
  • Interpreting study power
  • Calculating sample size using online calculators
  • Research questions which can benefit from an adaptive design
  • Analytic methods for adaptive designs
  • Interpreting results of adaptive designs
  • Statistical inference
  • Comparison of frequentist and Bayesian approaches and inference
  • Bayesian method and adaptive design introduction
  • Adaptive randomization and predictive probability
  • Bayesian design trial interpretation
  • Software tools for conducting Bayesian designs
  • Need for quasi-experiments and their limitations
  • Difference-in-Differences (DID) estimators and models
  • Limitations of randomized traditional trials
  • Common adaptive approaches and their challenges
  • Covariate and outcome adaptive randomization
  • Assessing impact, feasibility and funding
  • Scientific review process
  • Study initiation, continuing review and audits
  • Working with sponsors

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Rating Not enough ratings
Length 3 weeks
Effort 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 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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