Interactive Course

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.

  • 4 hours
  • 15 Videos
  • 48 Exercises
  • 1,634 Participants
  • 4,000 XP

Loved by learners at thousands of top companies:

3m-grey.svg
ikea-grey.svg
rei-grey.svg
siemens-grey.svg
roche-grey.svg
mercedes-grey.svg

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.

  2. Trial Designs

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

  3. 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.

  4. Statistical Analysis

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

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Tamuno Alfred
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.

See More
Collaborators
  • Sascha Mayr

    Sascha Mayr

  • David Campos

    David Campos

  • Shon Inouye

    Shon Inouye

Icon Icon Icon professional info