Robust analysis of stepped wedge trials using composite likelihood models

Cites Work

Unnamed Item
Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
Agnostic notes on regression adjustments to experimental data: reexamining Freedman's critique
Conditional and marginal models: another view (with comments and rejoinder)
Models for discrete longitudinal data.
Randomization inference for stepped-wedge cluster-randomized trials: an application to community-based health insurance
Misspecified maximum likelihood estimates and generalised linear mixed models
A mixed autoregressive probit model for ordinal longitudinal data
Approximate F-tests of multiple degree of freedom hypotheses in generalized least squares analyses of unbalanced split-plot experiments
A serially correlated gamma frailty model for longitudinal count data
A Composite Likelihood Approach to Binary Spatial Data
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions
Robust inference for the stepped wedge design
Efficiency Study of Estimators for a Treatment Effect in a Pretest–Posttest Trial
Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes
Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment
Novel methods for the analysis of stepped wedge cluster randomized trials
Model misspecification in stepped wedge trials: random effects for time or treatment
Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect

This page was built for publication: Robust analysis of stepped wedge trials using composite likelihood models