@article{ref1,
title="The analysis of group truncated binary data with random effects: injury severity in motor vehicle accidents",
journal="Biometrics",
year="2000",
author="Barr, S. C. and O'Neill, T. J.",
volume="56",
number="2",
pages="443-450",
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.<p /> <p>Language: en</p>",
language="en",
issn="0006-341X",
doi="",
url="http://dx.doi.org/"
}