Varying coefficient subdistribution regression for left-truncated semi-competing risks data

DOI10.1016/j.jmva.2014.06.005zbMath1298.62166OpenAlexW1981911655WikidataQ30842939 ScholiaQ30842939MaRDI QIDQ406514

Ruosha Li, Limin Peng

Publication date: 8 September 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2014.06.005

zbMATH Keywords

hypothesis testingobservational studiestime-varying coefficientleft truncationcumulative incidenceregistry data analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (2)

Regression models for censored time-to-event data using infinitesimal Jack-knife pseudo-observations, with applications to left-truncation ⋮ Assessing dynamic covariate effects with survival data

Uses Software

• cmprsk
• cmprskQR

Cites Work

• Competing Risks Quantile Regression
• Cox's regression model for counting processes: A large sample study
• Regression analysis for cumulative incidence probability under competing risks and left-truncated sampling
• Monotone estimating equations for censored data
• Estimation of the truncation probability in the random truncation model
• Introduction to empirical processes and semiparametric inference
• On semi-competing risks data
• Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring
• Censored quantile regression with partially functional effects
• Quantile Regression for Left-Truncated Semicompeting Risks Data
• On consistency of Kendall's tau under censoring
• Marginal Regression Analysis for Semi‐Competing Risks Data Under Dependent Censoring
• Predicting cumulative incidence probability by direct binomial regression
• Nonparametric Estimation from Cross-Sectional Survival Data
• The Analysis of Failure Times in the Presence of Competing Risks
• Checking the Cox model with cumulative sums of martingale-based residuals
• Semiparametric analysis of the additive risk model
• Regression modeling of competing crude failure probabilities
• Length-Biased Sampling With Right Censoring
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models
• Survival analysis with temporal covariate effects
• Nonparametric quantile inference with competing risks data
• Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence Function
• Rank Estimation of Accelerated Lifetime Models With Dependent Censoring
• Estimating a distribution function with truncated data
• Statistical models based on counting processes

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