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Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach 

De la Cruz, R.; Fuentes, C.; Meza, C.; Lee, D.-J.Autoridad BCAM; Arribas-Gil, A. (2017-02-09)
We propose a semiparametric mixed–effects model (SNMM) using penalized splines to clas- sify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone ...

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AuthorArribas-Gil, A. (1)De la Cruz, R. (1)Fuentes, C. (1)
Lee, D.-J. (1)
Meza, C. (1)Subject
Classificacion models (1)
Correlated observations (1)Longitudinal data (1)Mixed-effects models (1)P-splines (1)... másFecha2017 (1)

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