A simple and effective method for simulating nested exchangeable correlated binary data for longitudinal cluster randomised trials.

ABSTRACT:

Background

Simulation is an important tool for assessing the performance of statistical methods for the analysis of data and for the planning of studies. While methods are available for the simulation of correlated binary random variables, all have significant practical limitations for simulating outcomes from longitudinal cluster randomised trial designs, such as the cluster randomised crossover and the stepped wedge trial designs. For these trial designs as the number of observations in each cluster increases these methods either become computationally infeasible or their range of allowable correlations rapidly shrinks to zero.

Methods

In this paper we present a simple method for simulating binary random variables with a specified vector of prevalences and correlation matr

SUBMITTER: Bowden RA 

PROVIDER: S-EPMC11308151 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature