Where are the analysis sets typically defined in a clinical trial protocol?

Prepare for the ICH Good Clinical Practice (GCP) Exam for Certified Clinical Research Coordinator with engaging multiple-choice questions and detailed explanations. Elevate your understanding and expertise to excel in your certification exam!

Multiple Choice

Where are the analysis sets typically defined in a clinical trial protocol?

Explanation:
Defining how data will be analyzed, including which participants are included in each analysis, is specified in the protocol’s statistical section. The analysis sets describe the populations used for primary and secondary analyses (for example, full analysis set, per-protocol, and safety set) and outline how deviations and missing data are handled. This placement keeps the plan focused on how results will be derived rather than on how data are collected, who was enrolled, or how participants were randomized. Data collection schedules concern when data are gathered, trial demographics describe who was enrolled, and the randomization algorithm explains allocation—not the analysis populations. For clarity, the statistical section is where you’d find the definitions and rules for which participants count in each analysis, with concrete examples such as a full analysis set including all randomized participants who received at least one dose and have post-baseline data, and a per-protocol set excluding major deviations.

Defining how data will be analyzed, including which participants are included in each analysis, is specified in the protocol’s statistical section. The analysis sets describe the populations used for primary and secondary analyses (for example, full analysis set, per-protocol, and safety set) and outline how deviations and missing data are handled. This placement keeps the plan focused on how results will be derived rather than on how data are collected, who was enrolled, or how participants were randomized. Data collection schedules concern when data are gathered, trial demographics describe who was enrolled, and the randomization algorithm explains allocation—not the analysis populations. For clarity, the statistical section is where you’d find the definitions and rules for which participants count in each analysis, with concrete examples such as a full analysis set including all randomized participants who received at least one dose and have post-baseline data, and a per-protocol set excluding major deviations.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy