A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
type: Item
instance of: scholarly article
title: A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
zbMATH Open document ID: 1060.62617
author: William B. Goggins
author: Dianne M. Finkelstein
published in: Biometrics
publication date: 2005-04-22T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62N01
zbMATH DE Number: 2160408
zbMATH Keywords: correlated survival
zbMATH Keywords: Cox model
zbMATH Keywords: HIV
zbMATH Keywords: missing data
Wikidata QID: Q30612541
MaRDI profile type: Publication
cites work: Q5654899
cites work: A Proportional Hazards Model for Interval-Censored Failure Time Data
cites work: A Markov Chain Monte Carlo EM Algorithm for Analyzing Interval-Censored Data under the Cox Proportional Hazards Model
cites work: Applying the Cox Proportional Hazards Model When the Change Time of a Binary Time‐Varying Covariate Is Interval Censored
cites work: Bivariate Exponential Distributions
cites work: Regression Analysis of Multivariate Grouped Survival Data
cites work: Regression Analysis of Grouped Survival Data with Application to Breast Cancer Data
cites work: Rank-based inference in the proportional hazards model for interval censored data
full work available at URL: j.0006-341x.2000.00940.x
OpenAlex ID: W2080227261
DOI: 10.1111/J.0006-341X.2000.00940.X
description: scientific article; zbMATH DE number 2160408