Functional mixed effects clustering with application to longitudinal urologic chronic pelvic pain syndrome symptom data.

Guo, Wensheng; You, Mengying; Yi, Jialin; Pontari, Michel A; Landis, J Richard

Guo, Wensheng; You, Mengying; Yi, Jialin; Pontari, Michel A; Landis, J Richard.

Afiliação

Guo W; Department of Urology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19104 U.S.A.
You M; Department of Urology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19104 U.S.A.
Yi J; Department of Urology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19104 U.S.A.
Pontari MA; Department of Urology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19104 U.S.A.
Landis JR; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104 U.S.A.

J Am Stat Assoc ; 117(540): 1631-1641, 2022.

Article em En | MEDLINE | ID: mdl-36845296

Palavras-chave

Functional clustering; Kullback-Leibler information criterion; Smoothing Spline; State Space model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Idioma: En Revista: J Am Stat Assoc Ano de publicação: 2022 Tipo de documento: Article

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