Semiparametric regression splines in matched case-control studies.

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...

On Semiparametric Regression with O'sullivan Penalized Splines

An exposition on the use of O’Sullivan penalized splines in contemporary semiparametric regression, including mixed model and Bayesian formulations, is presented. O’Sullivan penalized splines are similar to P-splines, but have the advantage of being a direct generalization of smoothing splines. Exact expressions for the O’Sullivan penalty matrix are obtained. Comparisons between the two types o...

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

Bayesian semiparametric modeling for matched case-control studies with multiple disease states.

We present a Bayesian approach to analyze matched "case-control" data with multiple disease states. The probability of disease development is described by a multinomial logistic regression model. The exposure distribution depends on the disease state and could vary across strata. In such a model, the number of stratum effect parameters grows in direct proportion to the sample size leading to in...

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