Using Pilot Data for Power Analysis of Observational Studies for the Estimation of Dynamic Treatment Regimes.

ABSTRACT: Significant attention has been given to developing data-driven methods for tailoring patient care based on individual patient characteristics. Dynamic treatment regimes formalize this approach through a sequence of decision rules that map patient information to a suggested treatment. The data for estimating and evaluating treatment regimes are ideally gathered through the use of Sequential Multiple Assignment Randomized Trials (SMARTs), though longitudinal observational studies are commonly used due to the potentially prohibitive costs of conducting a SMART. Observational studies are typically powered for simple comparisons of fixed treatment sequences; a priori power or sample size calculations for tailored strategies are rarely if ever undertaken. This has lead to many studies that fail

SUBMITTER: Rose EJ 

PROVIDER: S-EPMC11245299 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature