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Assessing Sexual Attitudes and Behaviors of Young Women: A Joint Model with Nonlinear Time Effects, Time Varying Covariates, and Dropouts

Understanding human sexual behaviors is essential for the effective prevention of sexually transmitted infections. Analysis of longitudinally measured sexual behavioral data, however, is often complicated by zero-inflation of event counts, nonlinear time trend, time-varying covariates, and informati...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ghosh, Pulak, Tu, Wanzhu
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: 2008
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2657729/
https://ncbi.nlm.nih.gov/pubmed/19300533
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/016214508000000850
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