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Literature DB >> 8513103

REML estimation for survival models with frailty.

Abstract

A method of estimation for generalised mixed models is applied to the estimation of regression parameters in proportional hazards models for failure times when there are repeated observations of failure on each subject. The subject effect is incorporated into the model as a random frailty term. Best linear unbiased predictors are used as an initial step in the computation of maximum likelihood and residual maximum likelihood estimates.

Entities: Disease

Mesh：

Year: 1993 PMID： 8513103

Source DB: PubMed Journal: Biometrics ISSN： 0006-341X Impact factor: 2.571

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Cited

18 in total

1. Hierarchical-likelihood approach for mixed linear models with censored data.

Authors: Il Do Ha; Youngjo Lee; Jae-Kee Song
Journal: Lifetime Data Anal Date: 2002-06 Impact factor: 1.588

2. Modeling and Estimating Recall Processing Capacity: Sensitivity and Diagnostic Utility in Application to Mild Cognitive Impairment.

Authors: Michael K Wenger; Selamawit Negash; Ronald C Petersen; Lyndsay Petersen
Journal: J Math Psychol Date: 2010-02-01 Impact factor: 2.223

REML estimation for survival models with frailty.

1. Hierarchical-likelihood approach for mixed linear models with censored data.

2. Modeling and Estimating Recall Processing Capacity: Sensitivity and Diagnostic Utility in Application to Mild Cognitive Impairment.

3. On tests for group variation with a small to moderate number of groups.

Review 4. Some recent developments for regression analysis of multivariate failure time data.

5. Modelling conditional distributions in bivariate survival.

6. Weighted estimation for multivariate shared frailty models for complex surveys.

7. Fast Algorithms for Conducting Large-Scale GWAS of Age-at-Onset Traits Using Cox Mixed-Effects Models.

8. Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties.

9. Bayesian approach for flexible modeling of semicompeting risks data.

10. Conditional and Marginal Estimates in Case-Control Family Data - Extensions and Sensitivity Analyses.