Marker processes in survival analysis
type: Item
instance of: scholarly article
title: Marker processes in survival analysis
zbMATH Open document ID: 0866.62070
DOI: 10.1007/BF00128468
author: Nicholas P. Jewell
author: John D. Kalbfleisch
published in: Lifetime Data Analysis
publication date: 1997-07-24T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62M99
zbMATH DE Number: 954889
zbMATH Keywords: disease markers
zbMATH Keywords: efficiency
zbMATH Keywords: Poisson process
zbMATH Keywords: prevalent cohort
zbMATH Keywords: proportional hazards model
zbMATH Keywords: marker processes
zbMATH Keywords: additive model
zbMATH Keywords: hazard function
zbMATH Keywords: survival distribution of time to failure
zbMATH Keywords: surrogate responses
zbMATH Keywords: censored data
MaRDI profile type: Publication
Wikidata QID: Q45957814
cites work: Q5558293
cites work: Shock models with underlying birth process
cites work: A stochastic model for the distribution of HIV latency time based on T4 counts
cites work: Biases in Prevalent Cohorts
cites work: Q5654899
cites work: Q3319645
cites work: Nonparametric Methods for Survival/Sacrifice Experiments
cites work: The Efficiency of Cox's Likelihood Function for Censored Data
cites work: Shock models and wear processes
cites work: A framework for consistent prediction rules based on markers
cites work: Q4741623
cites work: A modification of the redistribution to the right algorithm using disease markers
cites work: Tests for Differences in Tumor Incidence Based on Animal Carcinogenesis Experiments
cites work: The modeling of randomly modulated jump processes
full work available at URL: https://doi.org/10.1007/bf00128468
OpenAlex ID: W2031367534
description: scientific article; zbMATH DE number 954889