We have developed a method for marginal analysis of the driving data that motivated this research. The method can be used to deal with correlation within subjects effectively. Two sources of within-subject correlation are considered: variability between subjects and serial correlation. We propose to address the variability between subjects by explicitly adjusting for subject as a fixed effect. To deal with serial correlation, we propose to use separated blocks, with a block-diagonal correlation matrix to account for as much correlation as possible within blocks, and a separation of suitable size to control the correlation between blocks. This procedure may be repeated randomly and the results will be synthesized using the multiple outputation technique. Model-based inference may be used to enhance the performance of the method, especially when the robust variance estimate performs poorly.

Project Start
Project End
Budget Start
Budget End
Support Year
4
Fiscal Year
2013
Total Cost
$3,315
Indirect Cost
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State
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Albert, Paul S; Liu, Aiyi; Nansel, Tonja (2014) Efficient logistic regression designs under an imperfect population identifier. Biometrics 70:175-84
Cheon, Kyeongmi; Thoma, Marie E; Kong, Xiangrong et al. (2014) A mixture of transition models for heterogeneous longitudinal ordinal data: with applications to longitudinal bacterial vaginosis data. Stat Med 33:3204-13
McLain, Alexander C; Albert, Paul S (2014) Modeling longitudinal data with a random change point and no time-zero: applications to inference and prediction of the labor curve. Biometrics 70:1052-60
Lai, Yinglei; Albert, Paul S (2014) Identifying multiple change points in a linear mixed effects model. Stat Med 33:1015-28
Simons-Morton, Bruce G; Cheon, Kyeongmi; Guo, Feng et al. (2013) Trajectories of kinematic risky driving among novice teenagers. Accid Anal Prev 51:27-32
Simons-Morton, Bruce G; Zhang, Zhiwei; Jackson, John C et al. (2012) Do elevated gravitational-force events while driving predict crashes and near crashes? Am J Epidemiol 175:1075-9
Zhang, Zhiwei; Albert, Paul S (2011) Binary regression analysis with pooled exposure measurements: a regression calibration approach. Biometrics 67:636-45