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Datacamp

Designing and Analyzing Clinical Trials in R

via Datacamp

Overview

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.

Clinical trials are scientific experiments that are conducted to assess whether treatments are effective and safe. They are used by a variety of organizations, including pharmaceutical companies for drug development. Biostatisticians play a key role in ensuring the success of a clinical trial. In this course you will gain an overview of the important principles and a practical introduction to commonly used statistical analyses. This course would be valuable for data analysts, medical students, clinicians, medical researchers and others interested in learning about the design and analysis of clinical trials.

Syllabus

Principles
-In this chapter you will be introduced to the important principles of clinical trials.

Trial Designs
-In this chapter you will be introduced to randomization methods and different types of trial designs.

Sample Size and Power
-By the end of this chapter you will be able to calculate the numbers of patients needed for a clinical trial under a range of scenarios.

Statistical Analysis
-In this chapter we will explore additional statistical techniques that are commonly used to analyze data from clinical trials.

Taught by

Tamuno Alfred

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