Document Detail


HGLM versus conditional estimators for the analysis of clustered binary data.
MedLine Citation:
PMID:  15696505     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Clustered binary data arise frequently in medical research such as cross-over clinical trials and twin studies. For the analysis of such data either a random-effects model or a conditional likelihood approach can be used. In this paper, we compare numerically the random-effects model estimator and the conditional likelihood estimator and discuss their relative merits for the analysis of binary data.
Authors:
Weechang Kang; Moo-Song Lee; Youngjo Lee
Related Documents :
9672835 - Relationship information contained in gamete identity by descent data.
7601325 - Uncertainty in fitted estimates of apparent in vivo metabolic constants for chloroform.
11686635 - Reconstructing insulin secretion rate after a glucose stimulus by an improved stochasti...
24505555 - Competitiveness measurement system in the advertising sector.
25461095 - Simulation of ozone formation at different elevations in mountainous area of hong kong ...
15681325 - Effective doses in angiography and interventional radiology: calculation of conversion ...
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Statistics in medicine     Volume:  24     ISSN:  0277-6715     ISO Abbreviation:  Stat Med     Publication Date:  2005 Mar 
Date Detail:
Created Date:  2005-02-16     Completed Date:  2005-05-17     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8215016     Medline TA:  Stat Med     Country:  England    
Other Details:
Languages:  eng     Pagination:  741-52     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2004 John Wiley & Sons, Ltd.
Affiliation:
Department of Information and Statistics, Daejeon University, Daejeon 300-716, Korea.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Age Factors
Clinical Trials as Topic / methods
Cluster Analysis
Cross-Over Studies
Data Interpretation, Statistical*
Drug Therapy
Female
Humans
Male
Models, Statistical*
Numerical Analysis, Computer-Assisted*
Sex Factors
Skin Diseases / drug therapy
Twin Studies as Topic / methods

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


Previous Document:  Simple improved confidence intervals for comparing matched proportions.
Next Document:  Analysing child mortality in Nigeria with geoadditive discrete-time survival models.