Sample size and power determination for multiparameter evaluation in nonlinear regression models with potential stratification.

ABSTRACT: Sample size and power determination are crucial design considerations for biomedical studies intending to formally test the effects of key variables on an outcome. Other known prognostic factors may exist, necessitating the use of techniques for covariate adjustment when conducting this evaluation. Moreover, the main interest often includes assessing the impact of more than one variable on an outcome, such as multiple treatments or risk factors. Regression models are frequently employed for these purposes, formalizing this assessment as a test of multiple regression parameters. But, the presence of multiple variables of primary interest and correlation between covariates can complicate sample size/power calculation. Given the paucity of available sample size formulas for this context, thes

SUBMITTER: Martens MJ 

PROVIDER: S-EPMC10749377 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature