Semiparametric estimation based on parametric modeling of the cause-specific hazard ratios in competing risks

DOI10.1016/S0047-259X(03)00026-5zbMath1030.62082MaRDI QIDQ1414605

Nobuhiro Taneichi, Akio Suzukawa

Publication date: 4 December 2003

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

zbMATH Keywords

Survival dataCumulative incidence functionMultinomial logitCauses of deathCensored data problemProportional hazards

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items

Kernel regression for cause-specific hazard models with nonparametric covariate functions

Cites Work

• Estimating the dimension of a model
• On semiparametric random censorship models
• ESTIMATION OF SURVIVAL FUNCTION BASED ON MODELING OF CENSORING PATTERN
• Nonparametric Estimation from Incomplete Observations
• Regression and time series model selection in small samples
• A Continuous Bivariate Exponential Extension
• The Analysis of Failure Times in the Presence of Competing Risks
• Some Tests for Comparing Cumulative Incidence Functions and Cause-Specific Hazard Rates
• On the Use of Cause-Specific Failure and Conditional Failure Probabilities: Examples From Clinical Oncology Data
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item