Topic: Time Trends and Drift

Inverse-Probability Weighting for Changing Allocation Probabilities

Flexible Trend Adjustment With Splines

How Adaptive Feedback Links Treatment Assignment to Enrollment Time

Diagnostics for Sparse Treatment Overlap Across Enrollment

Distinguishing Temporal Drift From Random Imbalance

Deriving Bias Under Linear Outcome Drift

Calendar-Time Drift in Response-Adaptive Trials

Common Mistake: Assuming Randomization Erases Time Imbalance

Common Mistake: Choosing a Trend Model After Seeing Results

Allocation Floors and Ceilings to Preserve Temporal Overlap