Bayesian Semiparametric Modeling for Matched Case–Control Studies with Multiple Disease States
نویسندگان
چکیده
منابع مشابه
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...
متن کاملSemiparametric and nonparametric modeling for effect modification in matched studies
This study describes a new graphical method for assessing and characterizing e$ect modi%cation by a matching covariate in matched case–control studies. This method to understand e$ect modi%cation is based on a semiparametric model using a varying coe2cient model. The method allows for nonparametric relationships between e$ect modi%cation and other covariates, or can be useful in suggesting para...
متن کاملBayesian semiparametric multiple shrinkage.
High-dimensional and highly correlated data leading to non- or weakly identified effects are commonplace. Maximum likelihood will typically fail in such situations and a variety of shrinkage methods have been proposed. Standard techniques, such as ridge regression or the lasso, shrink estimates toward zero, with some approaches allowing coefficients to be selected out of the model by achieving ...
متن کاملSemiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure
This article considers Bayesian analysis of matched case-control problems when one of the covariates is partially missing. Within the likelihood context, the standard approach to this problem is to posit a fully parametric model among the controls for the partially missing covariate as a function of the covariates in the model and the variables making up the strata. Sometimes the strata effects...
متن کاملSemiparametric Bayesian measurement error modeling
This work introduces a Bayesian semi-parametric approach for dealing with regression models where the covariate is measured with error. The main advantage of this extended Bayesian approach is the possibility of considering generalizations of the elliptical family of models by using Dirichlet process priors in the dependent and independent situations. Conditional posterior distributions are imp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrics
سال: 2004
ISSN: 0006-341X,1541-0420
DOI: 10.1111/j.0006-341x.2004.00169.x