Hierarchical-Likelihood Approach for Mixed Linear Models with Censored Data

Il Do Ha; Youngjo Lee; Jae-Kee Song

doi:10.1023/a:1014839723865

ScienceGate Book Chapters

JOURNAL ARTICLE

Hierarchical-Likelihood Approach for Mixed Linear Models with Censored Data

Il Do Ha Youngjo Lee Jae-Kee Song

Year: 2002 Journal: Lifetime Data Analysis Vol: 8 (2)Pages: 163-176 Publisher: Springer Science+Business Media

DOI: 10.1023/a:1014839723865

Get Full-Text PDF Get Analytical Report

Keywords:

Random effects model Multivariate statistics Generalized linear mixed model Mixed model Restricted maximum likelihood Statistics Marginal likelihood Linear model Econometrics Computer science Proportional hazards model Hierarchical database model Maximum likelihood Mathematics Data mining Medicine

Metrics

Cited By

3.76

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods in Clinical Trials

Physical Sciences → Mathematics → Statistics and Probability

Hierarchical-Likelihood Approach for Mixed Linear Models with Censored Data

Metrics

Citation History

Topics

Related Documents

Quasi-Likelihood Approach for Linear Models with Censored Data

Empirical Likelihood Ratio for Linear Transformation Models with Doubly Censored Data

Empirical likelihood-based inference in linear models with interval censored data

Hierarchical-likelihood approach for nonlinear mixed-effects models

Empirical likelihood for linear transformation models with interval-censored failure time data