Designing and Analyzing Clinical Trials in R

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

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4 Hours15 Videos48 Exercises3,355 Learners
4000 XP

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Course Description

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.

  1. 1

    Principles

    Free

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

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    Fundamentals
    50 xp
    Data exploration
    100 xp
    Patient characteristics
    100 xp
    Types of data and endpoints
    50 xp
    Exploration of continuous endpoints
    100 xp
    Exploration of binary endpoints
    100 xp
    Exploration of composite endpoints
    100 xp
    Basic statistical analysis
    50 xp
    Comparing means
    100 xp
    Comparing distributions
    100 xp
    Comparing proportions
    100 xp

Datasets

Acupuncture datasetFact datasetPK dataset

Collaborators

David CamposRichie CottonShon Inouye
Tamuno Alfred Headshot

Tamuno Alfred

PhD. Biostatistician

Tamuno Alfred is a biostatistician with experience in the pharmaceutical industry and in academia. She has worked on several clinical trials and epidemiological studies. Tamuno has an MSc in Medical Statistics and a PhD in Genetic Epidemiology.
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