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Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission.
Goldstein, Isaac H; Bayer, Damon; Barilar, Ivan; Kizito, Balladiah; Matsiri, Ogopotse; Modongo, Chawangwa; Zetola, Nicola M; Niemann, Stefan; Minin, Volodymyr M; Shin, Sanghyuk S.
Afiliación
  • Goldstein IH; Department of Statistics, University of California, Irvine, California, United States of America.
  • Bayer D; Department of Statistics, University of California, Irvine, California, United States of America.
  • Barilar I; German Center for Infection Research, Research Center Borstel, Borstel, Germany.
  • Kizito B; Victus Global Botswana Organisation, Gaborone, Botswana.
  • Matsiri O; Victus Global Botswana Organisation, Gaborone, Botswana.
  • Modongo C; Victus Global Botswana Organisation, Gaborone, Botswana.
  • Zetola NM; Augusta University, Augusta, Georgia, United States of America.
  • Niemann S; German Center for Infection Research, Research Center Borstel, Borstel, Germany.
  • Minin VM; Department of Statistics, University of California, Irvine, California, United States of America.
  • Shin SS; Sue & Bill Gross School of Nursing, University of California, Irvine, California, United States of America.
PLoS Comput Biol ; 18(12): e1010696, 2022 12.
Article en En | MEDLINE | ID: mdl-36469509
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tuberculosis / Infecciones por VIH Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tuberculosis / Infecciones por VIH Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos