Premium
Logistic Regression for Correlated Binary Data
Author(s) -
Cessie S.,
Houwelingen J. C.
Publication year - 1994
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2986114
Subject(s) - logistic regression , statistics , binary data , mathematics , multinomial logistic regression , binary number , econometrics , arithmetic
SUMMARY The modelling of correlated binary outcomes, in such a way that the marginal response probabilities are still logistic, is considered. Different association measures for the dependence between correlated observations are discussed. For paired correlated data the full likelihood can be evaluated; for an arbitrary number of correlated observations a pseudolikelihood approach to obtain parameter estimates is proposed. The results are illustrated on data from a Dutch follow‐up study on preterm infants.