A nonparametric instrumental approach to confounding in competing risks models

DOI10.1007/s10985-023-09599-3arXiv2105.00946OpenAlexW4376106317MaRDI QIDQ6092302

Ingrid Van Keilegom, Jean-Pierre Florens, Jad Beyhum

Publication date: 23 November 2023

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

Full work available at URL: https://arxiv.org/abs/2105.00946

zbMATH Keywords

instrumental variablecompeting risksconfounding

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Survival analysis and censored data (62Nxx) Causal inference from observational studies (62D20)

Cites Work

• Unnamed Item
• Instrumental quantile regression inference for structural and treatment effect models
• Quantile regression with censoring and endogeneity
• Nonparametric instrumental variables estimation for efficiency frontier
• A Weibull model for dependent censoring
• Reader reaction: Instrumental variable additive hazards models with exposure-dependent censoring
• Nonparametric Estimation in a Cure Model with Random Cure Times
• Identification of Causal Effects Using Instrumental Variables
• Instrumental variable additive hazards models
• Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes
• On semiparametric modelling, estimation and inference for survival data subject to dependent censoring
• Competing risks: Aims and methods
• Treatment Effects With Censoring and Endogeneity
• An IV Model of Quantile Treatment Effects
• Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
• Instrumental variable method for time‐to‐event data using a pseudo‐observation approach