Sampling and Clinical Trials Methods

Catalog description

This course introduces principles and statistical methods of sampling and clinical trial analyses. Topics encompass statistical concepts in survey sampling (e.g., sampling measurements and summary statistics), simple random sampling (e.g., numerical computation of population characteristics); stratified random sampling (e.g., construction of stratum boundaries and number of strata), one-, two-and multi-stage cluster sampling (e.g., use of the Hansen-Hurwitz estimator), specific statistical issues in clinical trial (e.g., regression toward mean), statistical properties of clinical trial design (e.g., MTD computation), statistical techniques of randomization (e.g., urn randomization and player-the-winner rule), sequential trials (e.g., monitoring adverse events using Bayesian methods), interim analysis (e.g., stochastic curtailment boundaries), statistical methods in analyzing trial data, and scientific issues in reporting and interpreting trial results.