Bayesian Sequential Design for Identifying and Ranking Effective Patient Subgroups in Precision Medicine in the Case of Counting Outcome Data with Inflated Zeros. | J Pers Med;13(11)2023 Oct 30. | MEDLINE

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Bayesian Sequential Design for Identifying and Ranking Effective Patient Subgroups in Precision Medicine in the Case of Counting Outcome Data with Inflated Zeros.

Vinnat, Valentin; Annane, Djillali; Chevret, Sylvie.

Affiliation

Vinnat V; ECSTRRA Team, INSERM U1153, Université Paris Cité, 75010 Paris, France.
Annane D; Intensive Care Unit, Raymond Poincaré Hospital, 78266 Garches, France.
Chevret S; ECSTRRA Team, INSERM U1153, Université Paris Cité, 75010 Paris, France.

J Pers Med ; 13(11)2023 Oct 30.

Article in En | MEDLINE | ID: mdl-38003875

Key words

Bayesian inference; biomarkers; identification of subset; personalized medicine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pers Med Year: 2023 Document type: Article Affiliation country: France Country of publication: Switzerland

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Pers Med Year: 2023 Document type: Article Affiliation country: France Country of publication: Switzerland