%0 Journal Article
%T The Analysis of Group Truncated Binary Data with Random Effects: Injury Severity in Motor Vehicle Accidents
%J Biometrics
%D 2000
%A Barry, S. c.
%A O'Neill, T. j.
%V 56
%N 2
%P 443-450
%X <p>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 />
%G 
%I John Wiley and Sons
%@ 0006-341X
%U http://dx.doi.org/