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Semiparametric Random Effects Models for Longitudinal Data with Informative Observation Times
Longitudinal data frequently arise in many fields such as medical follow-up studies focusing on specific longitudinal responses. In such situations, the responses are recorded only at discrete observation times. Most existing approaches for longitudinal data analysis assume that the observation or f...
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| Publicado no: | Stat Interface |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5431605/ https://ncbi.nlm.nih.gov/pubmed/28515829 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4310/SII.2016.v9.n3.a7 |
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