Generalizing the information content for stepped wedge designs: A marginal modeling approach.

ABSTRACT: Stepped wedge trials are increasingly adopted because practical constraints necessitate staggered roll-out. While a complete design requires clusters to collect data in all periods, resource and patient-centered considerations may call for an incomplete stepped wedge design to minimize data collection burden. To study incomplete designs, we expand the metric of information content to discrete outcomes. We operate under a marginal model with general link and variance functions, and derive information content expressions when data elements (cells, sequences, periods) are omitted. We show that the centrosymmetric patterns of information content can hold for discrete outcomes with the variance-stabilizing link function. We perform numerical studies under the canonical link function, and find t

SUBMITTER: Li F 

PROVIDER: S-EPMC10434823 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature