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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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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2006
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1550976/ https://ncbi.nlm.nih.gov/pubmed/16926924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2005.08.008 |
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