Bivariate modelling of longitudinal measurements of two human immunodeficiency type 1 disease progression markers in the presence of informative drop-outs

The main statistical problem in many epidemiological studies which involve repeated measurements of surrogate markers is the frequent occurrence of missing data. Standard likelihood-based approaches like the linear random-effects model fail to give unbiased estimates when data are non-ignorably miss...

Full description

Saved in:

Bibliographic Details
Published in:	Applied statistics Vol. 54; no. 2; pp. 405 - 423
Main Authors:	Pantazis, N., Touloumi, G., Walker, A. S., Babiker, A. G.
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01-04-2005 Blackwell Publishers Blackwell Royal Statistical Society Oxford University Press
Series:	Journal of the Royal Statistical Society Series C
Subjects:	AIDS Applications Biology, psychology, social sciences Bivariate response Censorship Data collection Disease progression Diseases Epidemiology Estimation bias Exact sciences and technology HIV HIV 1 Human immunodeficiency virus Human immunodeficiency virus 1 Immune system Infections Information Informative censoring Mathematics Measurement Measurement errors Medical sciences Men Missing data Modeling Modelling Multivariate analysis Nonparametric inference Parametric models Probability and statistics Repeated measurements Ribonucleic acid RNA Sciences and techniques of general use Statistical methods Statistics Studies Viral load Europe Correlation Generalized least square Iterative method Multivariate analysis Statistical simulation Epidemiology Linear model Survival function Least squares method Repeated measurement Random effect Survival model Likelihood function Survival data Censored data Human Retroviridae AIDS Joint distribution Lentivirus Statistical study Statistics Survival Infection Virus Missing data Unbiased estimation Correlation analysis Viral disease Trend analysis Observation data Human immunodeficiency virus EM algorithm Application
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!