Frailty modeling for clustered survival data: an application to birth interval in Bangladesh

DOI10.1080/02664763.2013.825702OpenAlexW2090168308MaRDI QIDQ5129146

A. H. M. Mahbub Latif, Sharif Mahmood, Begum Zainab

Publication date: 26 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2013.825702

zbMATH Keywords

proportional hazards modelrandom effects modelcorrelated survival dataresidual maximum likelihoodbirth interval

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Unnamed Item

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• One-sided tests in shared frailty models
• Modeling survival data: extending the Cox model
• Analysis of multivariate survival data
• The frailty model.
• Multilevel Models for Survival Analysis with Random Effects
• An Additive Frailty Model for Correlated Life Times
• Estimation of Multivariate Frailty Models Using Penalized Partial Likelihood

This page was built for publication: Frailty modeling for clustered survival data: an application to birth interval in Bangladesh