86 citations · 117 across the 9 of their papers we have counts for
5 papers · 1 filter
Dir-SPGLM: A Bayesian semiparametric GLM with data-driven reference distribution
Entejar Alam, Peter Müller, Paul J. Rathouz
The recently developed semi-parametric generalized linear model (SPGLM) offers more flexibility as compared to the classical GLM by including the baseline or reference distribution…
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes
Fan Li, Hengshi Yu, Paul J. Rathouz +2
Stepped wedge cluster randomized trials (SW-CRTs) with binary outcomes are increasingly used in prevention and implementation studies. Marginal models represent a flexible tool for…
Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach
Lee S. McDaniel, Jonathan S. Schildcrout, Enrique F. Schisterman +1
Biased sampling designs can be highly efficient when studying rare (binary) or low variability (continuous) endpoints. We consider longitudinal data settings in which the probabili…
Orthogonality of the mean and error distribution in generalized linear models
Alan Huang, Paul J. Rathouz
We show that the mean-model parameter is always orthogonal to the error distribution in generalized linear models. Thus, the maximum likelihood estimator of the mean-model paramete…
AR(1) Latent Class Models for Longitudinal Count Data
Nicholas C. Henderson, Paul J. Rathouz
In a variety of applications involving longitudinal or repeated-measurements data, it is desired to uncover natural groupings or clusters which exist among study subjects. Motivate…