User profiles for Joseph G. Ibrahim
Joseph G. IbrahimUNC Verified email at bios.unc.edu Cited by 32059 |
[BOOK][B] Monte Carlo methods in Bayesian computation
Sampling from the posterior distribution and computing posterior quanti ties of interest using
Markov chain Monte Carlo (MCMC) samples are two major challenges involved in …
Markov chain Monte Carlo (MCMC) samples are two major challenges involved in …
[BOOK][B] Bayesian survival analysis
Several topics are addressed, including parametric models, semiparametric models based
on prior processes, proportional and non-proportional hazards models, frailty models, cure …
on prior processes, proportional and non-proportional hazards models, frailty models, cure …
Missing-data methods for generalized linear models: A comparative review
JG Ibrahim, MH Chen, SR Lipsitz… - Journal of the American …, 2005 - Taylor & Francis
Missing data is a major issue in many applied problems, especially in the biomedical
sciences. We review four common approaches for inference in generalized linear models (GLMs) …
sciences. We review four common approaches for inference in generalized linear models (GLMs) …
Missing data methods in longitudinal studies: a review
JG Ibrahim, G Molenberghs - Test, 2009 - Springer
Incomplete data are quite common in biomedical and other types of research, especially in
longitudinal studies. During the last three decades, a vast amount of work has been done in …
longitudinal studies. During the last three decades, a vast amount of work has been done in …
Power prior distributions for regression models
JG Ibrahim, MH Chen - Statistical Science, 2000 - JSTOR
We propose a general class of prior distributions for arbitrary regression models. We
discuss parametric and semiparametric models. The prior specification for the regression …
discuss parametric and semiparametric models. The prior specification for the regression …
A new Bayesian model for survival data with a surviving fraction
We consider Bayesian methods for right-censored survival data for populations with a
surviving (cure) fraction. We propose a model that is quite different from the standard mixture …
surviving (cure) fraction. We propose a model that is quite different from the standard mixture …
High-and low-dose interferon alfa-2b in high-risk melanoma: first analysis of intergroup trial E1690/S9111/C9190
JM Kirkwood, JG Ibrahim, VK Sondak… - Journal of clinical …, 2000 - ascopubs.org
PURPOSE: Pivotal trial E1684 of adjuvant high-dose interferon alfa-2b (IFNα2b) therapy in
high-risk melanoma patients demonstrated a significant relapse-free and overall survival (…
high-risk melanoma patients demonstrated a significant relapse-free and overall survival (…
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences
Motivation In RNA-seq differential expression analysis, investigators aim to detect those
genes with changes in expression level across conditions, despite technical and biological …
genes with changes in expression level across conditions, despite technical and biological …
High-dose interferon alfa-2b significantly prolongs relapse-free and overall survival compared with the GM2-KLH/QS-21 vaccine in patients with resected stage IIB-III …
JM Kirkwood, JG Ibrahim, JA Sosman… - Journal of Clinical …, 2001 - ascopubs.org
PURPOSE: Vaccine alternatives to high-dose interferon alfa-2b therapy (HDI), the current
standard adjuvant therapy for high-risk melanoma, are of interest because of toxicity …
standard adjuvant therapy for high-risk melanoma, are of interest because of toxicity …
UGT1A1* 28 genotype and irinotecan-induced neutropenia: dose matters
…, RM Goldberg, P Qu, JG Ibrahim… - Journal of the …, 2007 - academic.oup.com
The Food and Drug Administration and Pfizer changed the package insert for irinotecan to
include a patient's UGT1A1*28 genotype as a risk factor for severe neutropenia on the basis …
include a patient's UGT1A1*28 genotype as a risk factor for severe neutropenia on the basis …