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Influence assessment in censored mixed-effects models using the multivariate Student’s-t distribution

  • Published:2015-10 Issue: Volume:141 Page:104-117
  • ISSN:0047-259X
  • Container-title:Journal of Multivariate Analysis
  • language:en
  • Short-container-title:Journal of Multivariate Analysis

Author:

Matos Larissa A.,Bandyopadhyay Dipankar,Castro Luis M.,Lachos Victor H.

Funder

US National Institutes of Health

CNPq-Brazil

FAPESP-Brazil

Chilean government

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference37 articles.

1. On some characterizations of the t-distribution;Arellano-Valle;Statist. Probab. Lett.,1995

2. Robust joint non-linear mixed-effects models and diagnostics for censored HIV viral loads with CD4 measurement error;Bandyopadhyay;J. Agric. Biol. Environ. Stat.,2015

3. Skew normal/independent linear mixed models for censored responses with applications to hiv viral loads;Bandyopadhyay;Biometric. J.,2012

4. Influence diagnostics for linear longitudinal models;Banerjee;J. Amer. Statist. Assoc.,1997

5. Diagnostics for mixed–model analysis of variance;Beckman;Technometrics,1987

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