TY  - JOUR
PY  - 2000//
TI  - The Analysis of Group Truncated Binary Data with Random Effects: Injury Severity in Motor Vehicle Accidents
JO  - Biometrics
A1  - Barry, S. c.
A1  - O'Neill, T. j.
SP  - 443
EP  - 450
VL  - 56
IS  - 2
N2  - <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 /> 
LA  - 
SN  - 0006-341X
UR  - http://dx.doi.org/
ID  - ref1
ER  -