Semiparametric Bayesian analysis of survival data

D Sinha, DK Dey - Journal of the American Statistical Association, 1997 - Taylor & Francis
This review article investigates the potential of Bayes methods for the analysis of survival
data using semiparametric models based on either the hazard or the intensity function. The …

[图书][B] Bayesian survival analysis

JG Ibrahim, MH Chen, D Sinha, JG Ibrahim, MH Chen - 2001 - Springer
Several topics are addressed, including parametric models, semiparametric models based
on prior processes, proportional and non-proportional hazards models, frailty models, cure …

[图书][B] Tools for statistical inference

MA Tanner - 1993 - Springer
This book provides a unified introduction to a variety of computational algorithms for
likelihood and Bayesian inference. In this second edition, I have attempted to expand the …

The statistical analysis of recurrent events

RJ Cook, JF Lawless - 2007 - Springer
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SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover Book © 2007 …

[图书][B] Dynamic regression models for survival data

T Martinussen, TH Scheike - 2006 - Springer
Dynamic Regression Models for Survival Data | SpringerLink Skip to main content
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[图书][B] Handbook of survival analysis

JP Klein, HC Van Houwelingen, JG Ibrahim… - 2014 - api.taylorfrancis.com
This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

Nonparametric Bayesian data analysis

P Müller, FA Quintana - 2004 - projecteuclid.org
We review the current state of nonparametric Bayesian inference. The discussion follows a
list of important statistical inference problems, including density estimation, regression …

[图书][B] Applied Bayesian hierarchical methods

PD Congdon - 2010 - taylorfrancis.com
The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models
involves complex data structures and is often described as a revolutionary development. An …

[图书][B] Bayesian hierarchical models: with applications using R

PD Congdon - 2019 - taylorfrancis.com
An intermediate-level treatment of Bayesian hierarchical models and their applications, this
book demonstrates the advantages of a Bayesian approach to data sets involving inferences …

The proportional hazard model for purchase timing: A comparison of alternative specifications

PB Seetharaman, PK Chintagunta - Journal of Business & …, 2003 - Taylor & Francis
We use the proportional hazard model (PHM) to study purchase-timing behavior of
households in two product categories: laundry detergents and paper towels. The PHM …