Perturbation selection and influence measures in local influence analysis (2008)
Zhu, Hongtu, Ibrahim, Joseph G., Lee, Sikyum, Zhang, Heping
Cook's [J. Roy. Statist. Soc. Ser. B 48 (1986) 133--169] local influence approach based on normal curvature is an important diagnostic tool for assessing local influence of minor perturbations to a...
Bayesian transformation hazard models (2006)
Yin, Gousheng, Ibrahim, Joseph G.
We propose a class of transformation hazard models for right-censored failure time data. It includes the proportional hazards model (Cox) and the additive hazards model (Lin and Ying) as special...
REC, Drosophila MCM8, Drives Formation of Meiotic Crossovers (2005)
Hunter L. Blanton, Sarah J. Radford, Susan McMahan, Hutton M. Kearney, Joseph G. Ibrahim, Jeff Sekelsky
Crossovers ensure the accurate segregation of homologous chromosomes from one another during meiosis. Here, we describe the identity and function of the Drosophila melanogaster gene recombination...
A Complete Bibliography of Applied Statistics 2000-2009 (2001)
Xiao-hua Zhou, Kevin T. Stroupe, J. D. Cooper, Emmanuel Lesare, Bart Spiessens, ...
Jane Xu and Scott L. Zeger. Joint analysis of longitudinal data comprising repeated measures and times to events. Applied Statistics, 50(3):??, ???? 2001. CODEN APSTAG. ISSN 0035-9254. Scott:2001:CCS...
Power prior distributions for regression models (2000)
Chen, Ming-Hui, Ibrahim, Joseph G.
We propose a general class of prior distributions for arbitrary regression models. We discuss parametric and semiparametric models. The prior specification for the regression coefficients focuses on...
Bayesian Variable Selection for Proportional Hazards Models (1999)
Joseph G. Ibrahim, Ming-hui Chen, Steven N. Maceachern
The authors consider the problem of Bayesian variable selection for proportional hazards regression models with right censored data. They propose a semi-parametric approach in which a nonparametric...
Bayesian Predictive Simultaneous Variable and Transformation Selection in the Linear Model (1999)
Jennifer A. Hoeting, Joseph G. Ibrahim
this paper, we propose two variable and transformation selection procedures on the predictor variables in the linear model. The first procedure is a simultaneous variable and transformation selection...
Predictive Specification of Prior Model Probabilities in Variable Selection (1998)
Purushottam W. Laud, Joseph G. Ibrahim
this article we propose a new method to solve #i#. We do this by focusing on observables, requiring only a few easily interpretable prior parameters to be speci#ed. These same parameter speci#cations...
REC, Drosophila MCM8, Drives Formation of Meiotic Crossovers
Blanton, Hunter L, Radford, Sarah J, McMahan, Susan, Kearney, Hutton M, Ibrahim, Joseph G, Sekelsky, Jeff
Crossovers ensure the accurate segregation of homologous chromosomes from one another during meiosis. Here, we describe the identity and function of the Drosophila melanogaster gene recombination...
REC, Drosophila MCM8, Drives Formation of Meiotic Crossovers
Blanton, Hunter L, Radford, Sarah J, McMahan, Susan, Kearney, Hutton M, Ibrahim, Joseph G, Sekelsky, Jeff
Crossovers ensure the accurate segregation of homologous chromosomes from one another during meiosis. Here, we describe the identity and function of the Drosophila melanogaster gene recombination...
Models for survival data from cancer prevention studies
Debajyoti Sinha, Joseph G. Ibrahim, Ming-Hui Chen
We propose a new parametric survival model for cancer prevention studies. The formulation of the model is in the spirit of stochastic modelling of the occurrences of tumours through two stages:...
Garrett M. Fitzmaurice, Stuart R. Lipsitz, Geert Molenberghs, Joseph G. Ibrahim
In longitudinal studies missing data are the rule not the exception. We consider the analysis of longitudinal binary data with non-monotone missingness that is thought to be non-ignorable. In this...
A Bayesian compartmental model for the evaluation of 1,3-butadiene metabolism
Maura Mezzetti, Joseph G. Ibrahim, Frédéric Y. Bois, Louise M. Ryan, Long Ngo, Thomas J. Smith
We propose a Bayesian model for physiologically based pharmacokinetics of 1,3-butadiene (BD). BD is classified as a suspected human carcinogen and exposure to it is common, especially through...
Amy H. Herring, Joseph G. Ibrahim, Stuart R. Lipsitz
Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical...
Missing-Data Methods for Generalized Linear Models: A Comparative Review
Joseph G. Ibrahim, Ming-Hui Chen, Stuart R. Lipsitz, Amy H. Herring
Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data
Zhu, Hongtu, Zhang, Heping, Ibrahim, Joseph G., Peterson, Bradley S.
Current Methods for Recurrent Events Data With Dependent Termination: A Bayesian Perspective
Sinha, Debajyoti, Maiti, Tapabrata, Ibrahim, Joseph G., Ouyang, Bichun
Ming-Hui Chen, Joseph G. Ibrahim, Qi-Man Shao
In this paper, we carry out an in-depth theoretical investigation of Bayesian inference for the Cox regression model. We establish necessary and sufficient conditions for posterior propriety of the...