The analysis of group truncated binary data with random effects: injury severity in motor vehicle accidents |
| |
Authors: | Barr S C O'Neill T J |
| |
Affiliation: | Department of Statistics and Econometrics, Australian National University, Canberra ACT. simon.barry@brs.gov.au |
| |
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. |
| |
Keywords: | Group truncation Road safety Truncated regression Truncation |
本文献已被 PubMed 等数据库收录! |
|