       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).

