HIGHLIGHTS
- who: David M. Vock et al. from the University of Minnesota have published the research: SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models, in the Journal: (JOURNAL)
- what: The authors develop a SAS macro SNP_NLMM that overcomes the computational challenges to fit GLMMs and NLMMs where the random effects are assumed to follow a smooth density that can be represented by the seminonparametric formulation proposed by Gallant and Nychka . The authors demonstrate the SNP_NLMM macro on a GLMM of the disease progression of toenail infection . . .
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