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1996-03-04
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Document 0600
DOCN M9640600
TI Exact logistic regression: theory and examples.
DT 9604
AU Mehta CR; Patel NR; Department of Biostatistics, Harvard School of
Public Health,; USA.
SO Stat Med. 1995 Oct 15;14(19):2143-60. Unique Identifier : AIDSLINE
MED/96118091
AB We provide an alternative to the maximum likelihood method for making
inferences about the parameters of the logistic regression model. The
method is based appropriate permutational distributions of sufficient
statistics. It is useful for analysing small or unbalanced binary data
with covariates. It also applies to small-sample clustered binary data.
We illustrate the method by analysing several biomedical data sets.
DE *Algorithms Analgesics/PHARMACOLOGY Arrhythmia/CHEMICALLY INDUCED
Case-Control Studies Confidence Intervals Cross-Over Studies CD4-CD8
Ratio Disease-Free Survival Female Human HIV Infections/IMMUNOLOGY
Infant Labor Complications *Likelihood Functions *Logistic Models
Male Osteosarcoma/MORTALITY Pregnancy Research Design Sample Size
Schizophrenia/PHYSIOPATHOLOGY Substance Dependence/DRUG THERAPY
JOURNAL ARTICLE
SOURCE: National Library of Medicine. NOTICE: This material may be
protected by Copyright Law (Title 17, U.S.Code).