Semiparametric Mixtures in Case-control Studies

Semiparametric Inference in Matched Case-Control Studies with Missing Covariate Data

Some Recent Advances in Non- and Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables

Some Recent Advances in Nonand Semiparametric Bayesian Modeling with Copulas, Mixtures, and Latent Variables by Jared S. Murray Department of Statistical Science Duke University

A new semiparametric procedure for matched case-control studies with missing covariates

Inference for Mixtures of Symmetric Distributions By

This article discusses the problem of estimation of parameters in finite mixtures when the mixture components are assumed to be symmetric and to come from the same location family. We refer to these mixtures as semiparametric because no additional assumptions other than symmetry are made regarding the parametric form of the component distributions. Because the class of symmetric distributions i...

Semiparametric estimation in general repeated measures problems

The paper considers a wide class of semiparametric problems with a parametric part for some covariate effects and repeated evaluations of a nonparametric function. Special cases in our approach include marginal models for longitudinal or clustered data, conditional logistic regression for matched case–control studies, multivariate measurement error models, generalized linear mixed models with a...