Mixed-effects logistic regression for estimating transitional probabilities in sequentially coded observational data.

@article{Ozechowski2007MixedeffectsLR,
  title={Mixed-effects logistic regression for estimating transitional probabilities in sequentially coded observational data.},
  author={Timothy J. Ozechowski and Charles W. Turner and Hyman Hops},
  journal={Psychological methods},
  year={2007},
  volume={12 3},
  pages={317-35}
}
This article demonstrates the use of mixed-effects logistic regression (MLR) for conducting sequential analyses of binary observational data. MLR is a special case of the mixed-effects logit modeling framework, which may be applied to multicategorical observational data. The MLR approach is motivated in part by G. A. Dagne, G. W. Howe, C. H. Brown, & B. O. Muthén (2002) advances in general linear mixed models for sequential analyses of observational data in the form of contingency table… CONTINUE READING

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