✦ LIBER ✦

On casting random-effects models in a survival framework

✍ Scribed by Ramani S. Pilla; Yongdai Kim; Hakbae Lee

Book ID: 111039016
Publisher: Blackwell Publishing
Year: 2008
Tongue: English
Weight: 540 KB
Volume: 70
Category: Article
ISSN: 0952-8385
DOI: 10.1111/j.1467-9868.2007.00652.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Note on Estimated Coefficients in Rand

A Note on Estimated Coefficients in Random Effects Probit Models

✍ Wiji Arulampalam 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 118 KB

Establishing a Bayesian predictive survi

Establishing a Bayesian predictive survival model adjusting for random effects

✍ Alfred A. Bartolucci; Sejong Bae; Karan P. Singh 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 377 KB

Modeling Multivariate Survival Data by a

Modeling Multivariate Survival Data by a Semiparametric Random Effects Proportional Odds Model

✍ K. F. Lam; Y. W. Lee; T. L. Leung 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 892 KB

Random effects survival models gave a be

Random effects survival models gave a better understanding of heterogeneity in individual patient data meta-analyses

✍ S. Michiels; B. Baujat; C. Mahé; D.J. Sargent; J.P. Pignon 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 239 KB

Lifetime Data: Models in Reliability and

Lifetime Data: Models in Reliability and Survival Analysis || A Random Effects Model for Multivariate Life Data

✍ Jewell, Nicholas P.; Kimber, Alan C.; Lee, Mei-Ling Ting; Whitmore, G. A. 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 872 KB

Statistical Models And Methods For Lifetime And Other Time-to-event Data Are Widely Used In Many Fields, Including Medicine, The Environmental Sciences, Actuarial Science, Engineering, Economics, Management, And The Social Sciences. For Example, Closely Related Statistical Methods Have Been Applied

A discrete survival model with random ef

A discrete survival model with random effects and covariate-dependent selection

✍ Scheike, Thomas H. ;Ekstrøm, Claus T. 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 106 KB

In this paper we present a discrete survival model with covariates and random effects, where the random effects may depend on the observed covariates. The dependence between the covariates and the random effects is modelled through correlation parameters, and these parameters can only be identified