A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED

In the social and health sciences, data are often structured hierarchically, with individuals nested within groups. Dyads constitute a special case of hierarchically structured data with variation at both the individual and dyadic level. Analyses of data from dyads pose several challenges due to the...

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Veröffentlicht in:	Computational statistics & data analysis 2006-08, Vol.50 (12), p.3663-3680
Hauptverfasser:	McMahon, James M., Pouget, Enrique R., Tortu, Stephanie
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Binary outcomes Biology, psychology, social sciences Dyadic data Exact sciences and technology General topics HLM Mathematics Multilevel modeling Multivariate analysis Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Probability and statistics SAS NLMIXED Sciences and techniques of general use Statistics
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