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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Acesso em linha: | 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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