A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model

DOI10.1007/s10985-022-09579-zOpenAlexW4303647003MaRDI QIDQ6099547

Lianming Wang, Prabhashi W. Withana Gamage, Christopher S. McMahan

Publication date: 20 June 2023

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

Full work available at URL: https://doi.org/10.1007/s10985-022-09579-z

zbMATH Keywords

EM algorithmproportional hazards modelcensored datamonotone splinesinterval-censored data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Regression modeling strategies. With applications to linear models, logistic regression, and survival analysis
• A Bayesian proportional hazards model for general interval-censored data
• Semiparametric analysis of survival data with left truncation and right censoring
• A nonparametric estimator of survival functions for arbitrarily truncated and censored data
• A large sample study of Cox's regression model
• Modeling survival data: extending the Cox model
• Consistency and asymptotic normality of estimators in a proportional hazards model with interval censoring and left truncation
• Regression analysis of bivariate current status data under the gamma-frailty proportional hazards model using the EM algorithm
• Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data
• Bayesian proportional hazards model for current status data with monotone splines
• Frailty models for arbitrarily censored and truncated data
• Nonparametric estimators of survival function under the mixed case interval-censored model with left truncation
• Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction
• Generalized accelerated failure time spatial frailty model for arbitrarily censored data
• A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
• Semiparametric estimation for the additive hazards model with left-truncated and right-censored data
• Interval-Censored Time-to-Event Data
• A Bayesian semiparametric accelerated failure time model for arbitrarily censored data with covariates subject to measurement error
• A semiparametric mixture cure survival model for left-truncated and right-censored data
• Hazard Regression for Interval-Censored Data with Penalized Spline
• “Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data
• Confidence Intervals for the Survival Function Using Cox's Proportional- Hazard Model with Covariates
• Rank-based inference in the proportional hazards model for interval censored data
• Partial likelihood
• Some further asymptotic efficiency calculations for survival data regression models
• Regression models with arbitrarily interval-censored observations
• A Proportional Hazards Model for Arbitrarily Censored and Truncated Data
• Nonparametric Estimation and Regression Analysis With Left-Truncated and Right-Censored Data
• A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
• A Markov Chain Monte Carlo EM Algorithm for Analyzing Interval-Censored Data under the Cox Proportional Hazards Model
• A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data
• Estimation of partly linear additive hazards model with left-truncated and right-censored data
• The Cox-Aalen model for left-truncated and mixed interval-censored data
• A Semiparametric Regression Cure Model for Interval-Censored Data
• Regression Analysis of Left-truncated and Case I Interval-censored Data with the Additive Hazards Model
• Cox proportional hazards models with left truncation and time‐varying coefficient: Application of age at event as outcome in cohort studies
• Survival Analysis
• A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model

This page was built for publication: A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model