A Proportional Hazards Regression Model for the Subdistribution with Covariates-adjusted Censoring Weight for Competing Risks Data

DOI10.1111/sjos.12167zbMath1364.62239OpenAlexW1730173098WikidataQ31066319 ScholiaQ31066319MaRDI QIDQ2791831

Thomas H. Scheike, Frank Eriksson, Peng He, Mei-Jie Zhang

Publication date: 16 March 2016

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4809648

zbMATH Keywords

proportional hazards modelcompeting riskscumulative incidence functioninverse probability of censoring weightsubdistribution

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)

Related Items (8)

Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection ⋮ Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design ⋮ Pseudo-value approach for conditional quantile residual lifetime analysis for clustered survival and competing risks data with applications to bone marrow transplant data ⋮ Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data ⋮ Inference for exponential competing risks data under generalized progressive hybrid censoring ⋮ Efficient Estimation in the Fine and Gray Model ⋮ An additive subdistribution hazard model for competing risks data ⋮ Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution

Uses Software

• cmprsk

Cites Work

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