plan-stats-review

A biostatistics plan review evaluates methodological assumptions by performing distributional checks, transformation justification, and residual diagnostics to prevent model mis-specification before data analysis begins.

Scope-appropriate validation in biostatistics methodology applies a structured validation strategy and leakage audit to ensure the planned analysis matches the study design complexity and prevents data leakage in the results.

Performing a data leakage audit for a study design involves evaluating the planned analysis structure to identify and prevent information from the validation set influencing the training process, ensuring scope-appropriate validation and reliable inference.

Yes, you can use this methodology review for both prediction and inference study designs. The Step 0 Methodology Challenge guides you to define whether the plan targets prediction or inference before applying scope-appropriate diagnostics.

Document biostatistics analysis decisions for reproducibility by generating an auditable rationale for methodological choices, capturing validation strategies and assumption checks in a structured format suitable for interactive analysis review.