Pre-selected class-level testing of longitudinal biomarkers reduces required multiple testing corrections to yield novel insights in longitudinal small sample human studies.

Foulkes, Andrea S; Azzoni, Livio; Montaner, Luis J

Foulkes, Andrea S; Azzoni, Livio; Montaner, Luis J.

Afiliación

Foulkes AS; Biostatistics Center, Massachusetts General Hospital, Boston, USA.
Azzoni L; Department of Medicine, Harvard Medical School, Boston, USA.
Montaner LJ; Wistar Institute, Philadelphia, USA.

Stat Commun Infect Dis ; 12(Suppl1): 20190018, 2020 Sep 01.

Article en En | MEDLINE | ID: mdl-37288470

Palabras clave

CD4 recovery; biomarker analysis; clustered data methods; longitudinal data; multiple testing adjustments

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stat Commun Infect Dis Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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