Fused lasso with the adaptation of parameter ordering in combining multiple studies with repeated measurements.

ABSTRACT: Combining multiple studies is frequently undertaken in biomedical research to increase sample sizes for statistical power improvement. We consider the marginal model for the regression analysis of repeated measurements collected in several similar studies with potentially different variances and correlation structures. It is of great importance to examine whether there exist common parameters across study-specific marginal models so that simpler models, sensible interpretations, and meaningful efficiency gain can be obtained. Combining multiple studies via the classical means of hypothesis testing involves a large number of simultaneous tests for all possible subsets of common regression parameters, in which it results in unduly large degrees of freedom and low statistical power. We develo

SUBMITTER: Wang F 

PROVIDER: S-EPMC4993701 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature