no 
title 
author 
magazine 
year 
volume 
issue 
page(s) 
type 
1 
A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects

Huang, Xin 

2010 
17 
1 
p. 80100 
article 
2 
Analysis of cure rate survival data under proportional odds model

Gu, Yu 

2010 
17 
1 
p. 123134 
article 
3 
A new threshold regression model for survival data with a cure fraction

Kim, Sungduk 

2010 
17 
1 
p. 101122 
article 
4 
Bayesian local influence for survival models

Ibrahim, Joseph G. 

2010 
17 
1 
p. 4370 
article 
5 
Bayesian methods in survival analysis

Chen, MingHui 

2010 
17 
1 
p. 12 
article 
6 
Bayesian phase II adaptive randomization by jointly modeling timetoevent efficacy and binary toxicity

Lei, Xiudong 

2010 
17 
1 
p. 156174 
article 
7 
Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis

Kottas, Athanasios 

2010 
17 
1 
p. 135155 
article 
8 
Discussion of “Bayesian local influence for survival models,” by Ibrahim, Zhu, and Tang

Gustafson, Paul 

2010 
17 
1 
p. 7173 
article 
9 
Discussion of “Bayesian local influence for survival models” by Ibrahim, Zhu and Tang

Basu, Sanjib 

2010 
17 
1 
p. 7475 
article 
10 
Discussion of: predictive comparison of joint longitudinalsurvival modeling: a case study illustrating competing approaches

Craiu, Radu V. 

2010 
17 
1 
p. 3336 
article 
11 
Discussion of “Predictive Comparison of Joint LongitudinalSurvival Modeling: A Case Study Illustrating Competing Approaches”, by Hanson, Branscum and Johnson

Taylor, Jeremy M. G. 

2010 
17 
1 
p. 2932 
article 
12 
Predictive comparison of joint longitudinalsurvival modeling: a case study illustrating competing approaches

Hanson, Timothy E. 

2010 
17 
1 
p. 328 
article 
13 
Rejoinder: Bayesian local influence for survival models

Ibrahim, Joseph G. 

2010 
17 
1 
p. 7679 
article 
14 
Rejoinder for “Predictive comparison of joint longitudinalsurvival modeling: a case study illustrating competing approaches”

Johnson, Wesley 

2010 
17 
1 
p. 3742 
article 
