Document Detail

Bayesian hierarchical analysis of within-units variances in repeated measures experiments.
MedLine Citation:
PMID:  7997717     Owner:  NLM     Status:  MEDLINE    
We develop hierarchical Bayesian models for biomedical data that consist of multiple measurements on each individual under each of several conditions. The focus is on investigating differences in within-subject variation between conditions. We present both population-level and individual-level comparisons. We extend the partial likelihood models of Chinchilli et al. with a unique Bayesian hierarchical framework for variance components and associated degrees of freedom. We use the Gibbs sampler to estimate posterior marginal distributions for the parameters of the Bayesian hierarchical models. The application involves a comparison of two cholesterol analysers each applied repeatedly to a sample of subjects. Both the partial likelihood and Bayesian approaches yield similar results, although confidence limits tend to be wider under the Bayesian models.
T R Ten Have; V M Chinchilli
Related Documents :
16777907 - Theseus: maximum likelihood superpositioning and analysis of macromolecular structures.
24004767 - Improving car passengers' comfort and experience by supporting the use of handheld devi...
19112527 - Censored median regression and profile empirical likelihood.
11891137 - Short and long term non-linear analysis of rr variability series.
15676367 - The effect of grid size on street location time in maps.
17147817 - Fast estimation of the difference between two pam/jtt evolutionary distances in triplet...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Statistics in medicine     Volume:  13     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  1994 Sep 
Date Detail:
Created Date:  1995-01-17     Completed Date:  1995-01-17     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  1841-52     Citation Subset:  IM    
Center for Biostatistics and Epidemiology, Hershey Medical Center, Pennsylvania State University, Hershey 17033.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Bayes Theorem*
Blood Chemical Analysis / instrumentation
Cholesterol / blood
Confidence Intervals
Data Interpretation, Statistical
Logistic Models*
Reg. No./Substance:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Deviance estimates of sample size for equivalence tests in vaccine trials.
Next Document:  Stratification of summary statistic tests according to missing data patterns.