Document Detail

Unconditional small-sample confidence intervals for the odds ratio.
MedLine Citation:
PMID:  12933604     Owner:  NLM     Status:  PubMed-not-MEDLINE    
The traditional approach to 'exact' small-sample interval estimation of the odds ratio for binomial, Poisson, or multinomial samples uses the conditional distribution to eliminate nuisance parameters. This approach can be very conservative. For two independent binomial samples, we study an unconditional approach with overall confidence level guaranteed to equal at least the nominal level. With small samples this interval tends to be shorter and have coverage probabilities nearer the nominal level.
Alan Agresti; Yongyi Min
Related Documents :
19997024 - Sedentary behaviors and abnormal glucose tolerance among pregnant latina women.
19839754 - Mthfr c677t and factor v leiden in recurrent pregnancy loss: a study among an endogamou...
14528244 - Repeatability and reproducibility of the bvi ultrasonic pachymeter.
20869704 - A prospective randomized noninferiority study comparing recombinant fsh and highly puri...
20822424 - High uric acid level during the first 20 weeks of pregnancy is associated with higher r...
650804 - Hypertension-hypotension in pregnancy. correlation with fetal outcome.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biostatistics (Oxford, England)     Volume:  3     ISSN:  1465-4644     ISO Abbreviation:  Biostatistics     Publication Date:  2002 Sep 
Date Detail:
Created Date:  2003-08-22     Completed Date:  2003-12-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100897327     Medline TA:  Biostatistics     Country:  England    
Other Details:
Languages:  eng     Pagination:  379-86     Citation Subset:  -    
Department of Statistics, University of Florida, Gainesville, Florida 32611-8545, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

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

Previous Document:  A hierarchical Bayesian approach to modeling embryo implantation following in vitro fertilization.
Next Document:  Maximum likelihood estimation in random effects cure rate models with nonignorable missing covariate...