Citation

Barr SC, O'Neill TJ. Biometrics 2000; 56(2): 443-450.

Affiliation

Department of Statistics and Econometrics, Australian National University, Canberra ACT. simon.barry@brs.gov.au

Copyright

(Copyright © 2000, Biometric Society, Publisher John Wiley and Sons)

DOI

unavailable

PMID

10877302

Abstract

The analysis of group truncated binary data has been previously considered by O'Neill and Barry (1995b, Biometrics 51, 533-541), where the analysis assumed that responses within each group were independent. In this paper, we consider the analysis of such data when there is group-level heterogeneity. A generalized linear mixed model is hypothesized to model the response and maximum likelihood estimates are derived for the truncated case. A score test is derived to test for heterogeneity. Finally, the method is applied to a set of traffic accident data.

Language: en