# 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 Hours15 Videos48 Exercises3,840 Learners4000 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.

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
2. 2

### Trial Designs

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

3. 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. 4

### Statistical Analysis

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

Datasets

Acupuncture datasetFact datasetPK dataset

Collaborators

David CamposRichie CottonShon Inouye

#### 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.

## What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

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

Louis Maiden