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A GENERALIZED LINEAR MIXED MODEL FOR LONGITUDINAL BINARY DATA WITH A MARGINAL LOGIT LINK FUNCTION Michael Parzen, Souparno Ghosh, Stuart Lipsitz, Debajyoti Sinha, Garrett M. Fitzmaurice, Bani K.
We present a technique for extending generalized linear models to the situation where some of the predictor variables are observations from a curve or function. The technique is particularly useful ...
An algorithm for linear mixed models substantially reduces memory usage and run time for genome-wide association studies. The improved algorithm scales linearly in cohort size, allowing the ...
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