Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission.
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| Title: | Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission. |
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| Authors: | 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. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2022 Dec 05; Vol. 18 (12), pp. e1010696. Date of Electronic Publication: 2022 Dec 05 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1010696 |
