Menu Close

Course Details

Course Title

Sample Sizing for Clinical Researchers

Course Format

One day classroom course with a mix of presentations and workshop sessions

Learning Objectives

This Course is designed to equip the participant with the essential knowledge as to the requirements of sample sizing which include the key components of power, significance and assumptions. This course is not designed to be statistical and will include no mathematics or formulae, instead this gives a practical insight into how sample sizing is done and the most effective approaches to it.

The Course is a blend of theory and practical hands-on experience using sample sizing software to compute real sample sizes and explore the various assumptions.

Who is it for?

This course is suitable for anyone involved in the design of clinical trials or involved in writing clinical trial reports or manuscripts, including: 

  • CRAs
  • Project Managers 
  • Medical Advisers 
  • Investigators 
  • Medical Writers
  • Project Accountants 
Course Content

The Key Components 

  • Power
  • Significance and relationship to p-value
  • Assumptions
  • Standard deviation

Framework for Sample Sizing 

  • Obtaining estimates and assumptions
  • Deciding on power
  • Sample sizing process

Sample Sizing Continuous Data 

  • Assumptions & Methods
  • Practical Examples

Sample Sizing Binary Data 

  • Assumptions & Methods
  • Practical Examples

Sample Sizing Time to Event Data 

  • Event Driven Trials (time to death, progression etc)
  • Additional assumptions
  • Event rates leading to sample size
  • Practical Examples



Enquire About This Course
In-House Enquiry
(Please provide an approximation of the number of people you would like to be trained)
(Please provide a guide as to the location you are considering for the training)
Clinical Trial Conduct Courses

Advanced Monitoring

Clinical Trials Project Management

Effective Accompanied Site Visits

Introduction to Monitoring

Microsoft Project for Clinical Trials

Clinical Trial Methodology Courses

Clinical Trial Designs

Interpreting Results in Medical Literature

Introduction to Clinical Research

Sample Sizing for Clinical Researchers

Statistical Considerations for Trial Design

Statistics for Non-Statisticians

Understanding Data Management In Clinical Trials

GCP, Guidelines & Legislation Courses

GCP Update

Introduction to GCP

Sponsor Responsibilities for Clinical Trials