A class of Box-Cox transformation models for recurrent event data

DOI10.1007/s10985-010-9165-xzbMath1322.62090OpenAlexW2051976371WikidataQ33555229 ScholiaQ33555229MaRDI QIDQ746111

Xian Zhou, Liu-Quan Sun, Xing-wei Tong

Publication date: 15 October 2015

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-010-9165-x

zbMATH Keywords

model checkingcounting processrecurrent eventsmarginal modelBox-Cox transformation modelprofile pseudo-partial likelihood

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Markov processes: estimation; hidden Markov models (62M05)

Related Items (14)

A class of transformation rate models for recurrent event data ⋮ A class of transformed hazards models for recurrent gap times ⋮ A new joint model of recurrent event data with the additive hazards model for the terminal event time ⋮ A flexible additive-multiplicative transformation mean model for recurrent event data ⋮ A class of Box-Cox transformation models for recurrent event data with a terminal event ⋮ A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events ⋮ Additive rate model with auxiliary covariates ⋮ Estimating Box-Cox power transformation parameter via goodness-of-fit tests ⋮ An additive hazards model for clustered recurrent gap times ⋮ On a general class of semiparametric hazards regression models for recurrent gap times ⋮ A flexible semiparametric transformation model for recurrent event data ⋮ A class of mixed models for recurrent event data ⋮ A Methodology to Implement Box-Cox Transformation When No Covariate is Available ⋮ Additive mixed effect model for recurrent gap time data

Cites Work

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• Cox's regression model for counting processes: A large sample study
• Accelerated rates regression models for recurrent failure time data
• A semiparametric additive rates model for recurrent event data
• Some inequalities about the Kaplan-Meier estimator
• Semiparametric efficient estimation in the generalized odds-rate class of regression models for right-censored time-to-event data
• Consistency in a proportional hazards model incorporating a random effect
• Stochastic integrals of empirical-type processes with applications to censored regression
• Robust inference for univariate proportional hazards frailty regression models
• Asymptotic theory for the frailty model
• Generalized proportional hazards model based on modified partial likelihood
• A survey of product-integration with a view toward application in survival analysis
• Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
• A class of rank test procedures for censored survival data
• Efficient estimation of semiparametric transformation models for counting processes
• Shared Frailty Models for Recurrent Events and a Terminal Event
• Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
• On the regression analysis of multivariate failure time data
• Accelerated failure time models for counting processes
• Semiparametric Transformation Models for Point Processes
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Conditional Regression Analysis for Recurrence Time Data
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Semiparametric Transformation Models With Random Effects for Recurrent Events

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