Regression analysis for cumulative incidence probability under competing risks and left-truncated sampling
DOI10.1007/s10985-011-9201-5zbMath1322.62135OpenAlexW2045540682WikidataQ46745742 ScholiaQ46745742MaRDI QIDQ746117
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/s10985-011-9201-5
logistic regressionimputationmixture modelcumulative incidence functioncause-specific hazardinverse-probability-weighted
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- Estimating a distribution function with truncated and censored data
- Quasi-likelihood and its application. A general approach to optimal parameter estimation
- Estimating the Occurrence Rate for Prevalent Survival Data in Competing Risks Models
- A SEMIPARAMETRIC MIXTURE MODEL FOR THE ANALYSIS OF COMPETING RISKS DATA
- Strong representation of a generalized product-limit estimator for truncated and censored data with some applications
- Regression modeling of competing crude failure probabilities
- Semiparametric analysis of transformation models with censored data
- A Proportional Hazards Model for the Subdistribution of a Competing Risk
- Prediction of Cumulative Incidence Function under the Proportional Hazards Model
- Nonparametric Estimation of the Sojourn Time Distributions for a Multipath Model
- Analysing Competing Risks Data With Transformation Models
- Estimating a distribution function with truncated data
This page was built for publication: Regression analysis for cumulative incidence probability under competing risks and left-truncated sampling
