Time-dependent coefficients in a multi-event model for survival analysis

DOI10.1016/S0378-3758(98)00157-8zbMath0962.62097OpenAlexW2061484002MaRDI QIDQ1298983

Antonio Carlos Pedroso-de-Lima, Pranab Kumar Sen

Publication date: 17 June 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(98)00157-8

zbMATH Keywords

sievesCox-type modelmatrix-valued counting processmultivariate failure-times

Mathematics Subject Classification ID

Inference from stochastic processes (62M99) Estimation in survival analysis and censored data (62N02) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (1)

Smooth estimation of multivariate survival and density functions

Cites Work

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• Cox's regression model for counting processes: A large sample study
• Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
• A counting process approach to the regression analysis of grouped survival data
• Time-dependent coefficients in a Cox-type regression model
• A matrix-valued counting process with first-order interactive intensities
• Maximum-Likelihood Estimation of Parameters Subject to Restraints
• Linear Statistical Inference and its Applications

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