Constrained parametric model for simultaneous inference of two cumulative incidence functions

DOI10.1002/bimj.201200011zbMath1441.62490OpenAlexW1840494454WikidataQ45145479 ScholiaQ45145479MaRDI QIDQ4902191

Yu Cheng, Haiwen Shi, Jong-Hyeon Jeong

Publication date: 25 January 2013

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201200011

zbMATH Keywords

long-term incidencecumulative incidence functioncause-specific hazard functionmodified three-parameter logistic modelparametric modeling and odds rate

Mathematics Subject Classification ID

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

Related Items (6)

Parametric inference for quantile event times with adjustment for covariates on competing risks data ⋮ Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure ⋮ Efficient semiparametric mixture inferences on cure rate models for competing risks ⋮ Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data ⋮ A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data ⋮ Assessing diagnostic accuracy improvement for survival or competing‐risk censored outcomes

Uses Software

• timereg
• cmprsk

Cites Work

• Unnamed Item
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• Rank-based inference for the accelerated failure time model
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Prediction of Cumulative Incidence Function under the Proportional Hazards Model
• On the Use of Cause-Specific Failure and Conditional Failure Probabilities: Examples From Clinical Oncology Data
• Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence Function
• Direct Parametric Inference for the Cumulative Incidence Function

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