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Ye, Wen, Lin, Xihong, Taylor, Jeremy M. G.,
In this article we investigate regression calibration methods to jointly model longitudinal and survival data using a semiparametric longitudinal model and a proportional hazards model. In the longitu...
complete descriptionhttp://hdl.handle.net/2027.42/65518
Huang, Xuelin, Wolfe, Robert A.,
To account for the correlation between failure and censoring, we propose a new frailty model for clustered data. In this model, the risk to be censored is affected by the risk of failure. This model a...
complete descriptionhttp://hdl.handle.net/2027.42/65550
Maples, Jerry J., Murphy, Susan A., Axinn, William G.,
We extend the proportional hazards model to a two-level model with a random intercept term and random coefficients. The parameters in the multilevel model are estimated by a combination of EM and Newt...
complete descriptionhttp://hdl.handle.net/2027.42/65551
Guo, Wensheng, Brown, Morton B.,
Structural time series models have applications in many different fields such as biology, economics, and meteorology. A structural time series model can be represented as a state-space model where the...
complete descriptionhttp://hdl.handle.net/2027.42/65683
Hogan, Joseph W., Lin, Xihong, Herman, Benjamin,
The analysis of longitudinal repeated measures data is frequently complicated by missing data due to informative dropout. We describe a mixture model for joint distribution for longitudinal repeated m...
complete descriptionhttp://hdl.handle.net/2027.42/66096
Yuan, Ying, Little, Roderick J. A.,
Selection models and pattern-mixture models are often used to deal with nonignorable dropout in longitudinal studies. These two classes of models are based on different factorizations of the joint dis...
complete descriptionhttp://hdl.handle.net/2027.42/66099
Poulsen, Anders, Bjørnholm, Berith, Gundertofte, Klaus, Pogozheva, Irina D., Liljefors, Tommy,
Three neurokinin (NK) antagonist pharmacophore models (Models 1–3) accounting for hydrogen bonding groups in the `head' and `tail' of NK receptor ligands have been developed by use of a new procedure ...
complete descriptionhttp://hdl.handle.net/2027.42/42969
Rudary, Matthew R.,
Models are used by artificial agents to make predictions about the future; agents then use these predictions to modify their behavior. In many cases, these models are not known a priori and so the age...
complete descriptionhttp://hdl.handle.net/2027.42/62307
Fornell, Claes, Yi, Youjae,
Although methods for latent variable modeling that allow a joint analysis of measurement and theory have become popular, they are not without difficulties. As these difficulties have become more appar...
complete descriptionhttp://hdl.handle.net/2027.42/68513
Becker, Mark, Minick, Susan, Yang, Ilsoon,
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but it has been argued that in some cases, an alternative approach for formulating models—one based on ...
complete descriptionhttp://hdl.handle.net/2027.42/68555