Semiparametric analysis of recurrent discrete time data with competing risks

DOI10.1080/00949655.2022.2102171OpenAlexW4287832343WikidataQ114101190 ScholiaQ114101190MaRDI QIDQ5055240

Minjung Lee

Publication date: 13 December 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2022.2102171

zbMATH Keywords

competing riskscumulative incidence functionmaximum likelihood inferencesrecurrent discrete times

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• cmprsk

Cites Work

• Longitudinal data analysis using generalized linear models
• Cox's regression model for counting processes: A large sample study
• Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
• Validation of discrete time‐to‐event prediction models in the presence of competing risks
• Regression methods for gap time hazard functions of sequentially ordered multivariate failure time data
• A general multilevel multistate competing risks model for event history data, with an application to a study of contraceptive use dynamics
• Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring
• On the regression analysis of multivariate failure time data
• The Analysis of Failure Times in the Presence of Competing Risks
• Nonparametric estimation of the gap time distribution for serial events with censored data
• Regression modeling of competing crude failure probabilities
• Analyzing Recurrent Event Data With Informative Censoring
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Prediction of Cumulative Incidence Function under the Proportional Hazards Model
• Confidence Bands for Cumulative Incidence Curves Under the Additive Risk Model
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Inference for cumulative incidence on discrete failure times with competing risks
• Shared frailty model for recurrent event data with multiple causes
• Semiparametric regression for discrete time-to-event data
• Semiparametric regression analysis on longitudinal pattern of recurrent gap times
• Nonparametric Estimation of the Bivariate Recurrence Time Distribution
• Cumulative Incidence Association Models for Bivariate Competing Risks Data

This page was built for publication: Semiparametric analysis of recurrent discrete time data with competing risks