A robust biostatistical method leverages informative but uncertainly determined qPCR data for biomarker detection, early diagnosis, and treatment.

Zhuang, Wei; Camacho, Luísa; Silva, Camila S; Thomson, Michael; Snyder, Kevin

Zhuang, Wei; Camacho, Luísa; Silva, Camila S; Thomson, Michael; Snyder, Kevin.

Afiliação

Zhuang W; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America.
Camacho L; Division of Biochemical Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America.
Silva CS; Division of Biochemical Toxicology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, United States of America.
Thomson M; Office of New Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.
Snyder K; Office of New Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, United States of America.

PLoS One ; 17(1): e0263070, 2022.

Article em En | MEDLINE | ID: mdl-35100319

Assuntos

Diagnóstico Precoce; Modelos Teóricos; Reação em Cadeia da Polimerase em Tempo Real; Biomarcadores; Humanos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico Precoce / Reação em Cadeia da Polimerase em Tempo Real / Modelos Teóricos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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