Carleton University · HLTH 5815

Principles of Data Management and Analysis in Clinical Trials

Credits : 0.5 creditReference year : 2026-27

Description

Randomization, biomarkers, endpoints, estimands, sample size requirements, random error and bias, multiple testing correction, intent-to-treat versus per-protocol, equipoise and stopping rules for trials, database development, validation and reporting/transferring, development of statistical analysis plans, considerations around missing data.

Reference text in its original language

Randomization, biomarkers, endpoints, estimands, sample size requirements, random error and bias, multiple testing correction, intent-to-treat versus per-protocol, equipoise and stopping rules for trials, database development, validation and reporting/transferring, development of statistical analysis plans, considerations around missing data.

    Sources and references

    Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

    Source reference : https://calendar.carleton.ca/grad/courses/HLTH/

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