Semiparametric Bayesian analysis of survival data
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 …
data using semiparametric models based on either the hazard or the intensity function. The …
[图书][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 …
[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 …
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
The Statistical Analysis of Recurrent Events | SpringerLink Skip to main content Advertisement
SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover Book © 2007 …
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
Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover …
Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover …
[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 …
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 …
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 …
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 …
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 …
households in two product categories: laundry detergents and paper towels. The PHM …