Now showing items 11-20 of 324
Using P-Splines to Estimate Nonlinear Covariate Effects in Latent Factor Models.
(2015)
Latent factor models are useful for summarizing information among multiple outcomes. In this thesis I apply semiparametric methods based on P-splines to latent factor models in order to estimate and test non-constant factor ...
A false-discovery-rate-based loss framework for selection of interactions
(John Wiley & Sons, Ltd., 2008-05-20)
Interaction effects have been consistently found important in explaining the variation in outcomes in many scientific research fields. Yet, in practice, variable selection including interactions is complicated due to the ...
Latent variable models for gene–environment interactions in longitudinal studies with multiple correlated exposures
(Chapman & Hall/CRCWiley Periodicals, Inc., 2015-03-30)
Non-parametric estimation of gap time survival functions for ordered multivariate failure time data
(John Wiley & Sons, Ltd., 2004-06-30)
Times between sequentially ordered events (gap times) are often of interest in biomedical studies. For example, in a cancer study, the gap times from incidence-to-remission and remission-to-recurrence may be examined. Such ...
Bayesian Local Smoothing Modeling and Inference for Pre-surgical FMRI Data.
(2016)
There is a growing interest in using fMRI measurements and analyses as tools for pre-surgical planning. For such applications, spatial precision and control over false negatives and false positives are vital, requiring ...
A shared random effects model for censored medical costs and mortality
(John Wiley & Sons, Ltd., 2006)
In this paper, we propose a model for medical costs recorded at regular time intervals, e.g. every month, as repeated measures in the presence of a terminating event, such as death. Prior models have related monthly medical ...
Semiparametric inferences for association with semi-competing risks data
(John Wiley & Sons, Ltd., 2005)
In many biomedical studies, it is of interest to assess dependence between bivariate failure time data. We focus here on a special type of such data, referred to as semi-competing risks data. In this article, we develop ...
Methods for comparing center‐specific survival outcomes using direct standardization
(Wiley, 2014-05-30)
The evaluation of center‐specific outcomes is often through survival analysis methods. Such evaluations must account for differences in the distribution of patient characteristics across centers. In the context of censored ...