Experimental Design, Power Analysis & Randomization — Hands-on

Learn how to design analyzable, bias-aware biomedical and omics studies from first principles. This module walks you through objectives, endpoints, power and sample size, and practical randomization strategies, implemented and validated in R and Python with clear documentation for protocols.

Experimental Design, Power Analysis & Randomization

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Session Index

Session 1 — Principles of Experimental Design Session 2 — Power, Sample Size & Effect Sizes Session 3 — Randomization, Allocation & Blinding Session 4 — Design Clinic & Protocol Walkthrough

Session 1

Fee: Rs 8800

Principles of Experimental Design

Objectives, endpoints and estimands

primary vs secondary endpoints estimands & estimators internal vs external validity

Design types & structure

CRD / RBD / factorial parallel / crossover blocking & stratification

Bias, confounding & nuisance variables

sources of bias design-based control protocol considerations

Session 2

Fee: Rs 11800

Power, Sample Size & Effect Sizes

Effect sizes & variance components

Cohen's d / Hedges' g OR / RR / HR clinically meaningful delta

Analytical & simulation-based power

R pwr / power.t.test simr / Monte Carlo sensitivity analyses

Design scenarios & constraints

multi-arm & unequal allocation drop-out & non-compliance budget & feasibility trade-offs

Session 3

Fee: Rs 14800

Randomization, Allocation & Blinding

Randomization strategies

simple & block randomization stratified & permuted blocks covariate-adaptive schemes

Allocation concealment & blinding

randomization lists central vs local randomization single / double blind

Practical implementation

R scripts & templates spreadsheets / REDCap deviation & CONSORT reporting

Session 4

Fee: Rs 18800

Design Clinic & Protocol Walkthrough

From research question to design

map hypotheses → endpoints → design

Documenting power & randomization

power reports & plots randomization appendix assumption logs

Deliverables: protocol-ready design pack

design diagram sample size & power summary randomization sheet

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Experimental Design, Power Analysis & Randomization Training | Biostatistics & Omics Study Design

Experimental Design, Power Analysis & Randomization — Hands-on