{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T06:00:10Z","timestamp":1721887210033},"reference-count":16,"publisher":"Wiley","issue":"22","license":[{"start":{"date-parts":[[2011,6,30]],"date-time":"2011-06-30T00:00:00Z","timestamp":1309392000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2011,9,30]]},"abstract":"<jats:p>For pathogens that must be treated with combinations of antibiotics and acquire resistance through genetic mutation, knowledge of the order in which drug\u2010resistance mutations occur may be important for determining treatment policies. Diagnostic specimens collected from patients are often available; this makes it possible to determine the presence of individual drug resistance\u2010conferring mutations and combinations of these mutations. In most cases, these specimens are only available from a patient at a single point in time; it is very rare to have access to multiple specimens from a single patient collected over time as resistance accumulates to multiple drugs. Statistical methods that use branching trees have been successfully applied to such cross\u2010sectional data to make inference on the ordering of events that occurred prior to sampling. Here, we propose a Bayesian approach to fitting branching tree models that has several advantages, including the ability to accommodate prior information regarding measurement error or cross resistance and the natural way it permits the characterization of uncertainty. Our methods are applied to a data set for drug\u2010resistant TB in Peru; the goal of the analysis was to determine the order with which patients develop resistance to the drugs commonly used for treating TB in this setting. Copyright \u00a9 2011 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/sim.4287","type":"journal-article","created":{"date-parts":[[2011,6,30]],"date-time":"2011-06-30T15:16:29Z","timestamp":1309446989000},"page":"2708-2720","source":"Crossref","is-referenced-by-count":2,"title":["Bayesian methods for fitting mixture models that characterize branching tree processes: An application to development of resistant TB strains"],"prefix":"10.1002","volume":"30","author":[{"given":"Alane","family":"Izu","sequence":"first","affiliation":[{"name":"Harvard School of Public Health  655 Huntington Avenue Boston MA 02115 U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ted","family":"Cohen","sequence":"additional","affiliation":[{"name":"Harvard School of Public Health  641 Huntington Avenue Boston MA 02115 U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carole","family":"Mitnick","sequence":"additional","affiliation":[{"name":"Harvard Medical School  641 Huntington Avenue Boston MA 02115 U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Megan","family":"Murray","sequence":"additional","affiliation":[{"name":"Harvard School of Public Health  641 Huntington Avenue Boston MA 02115 U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victor","family":"De Gruttola","sequence":"additional","affiliation":[{"name":"Harvard School of Public Health  655 Huntington Avenue Boston MA 02115 U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2011,6,30]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.1999.6.37"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2005.12.584"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.2202\/1544\u20106115.1324"},{"key":"e_1_2_7_5_1","unstructured":"WHO.Anti\u2010tuberculosis drug resistance in the world: Report no. 4.Technical Report World Health Organization Geneva Switzerland February2008."},{"key":"e_1_2_7_6_1","unstructured":"WHO.Multidrug and extensively drug\u2010resistant tuberculosis: 2010 global report on surveillance and response.Technical Report World Health Organization Geneva Switzerland March2010."},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMe0804906"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/jac\/dkp237"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008929526011"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467\u20109868.00353"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1995.10476572"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti274"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbm004"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.287.5457.1479"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0902437106"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1473\u20103099(03)00483\u20103"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1124410"}],"container-title":["Statistics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fsim.4287","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sim.4287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T22:31:40Z","timestamp":1698791500000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/sim.4287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,6,30]]},"references-count":16,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2011,9,30]]}},"alternative-id":["10.1002\/sim.4287"],"URL":"https:\/\/doi.org\/10.1002\/sim.4287","archive":["Portico"],"relation":{},"ISSN":["0277-6715","1097-0258"],"issn-type":[{"value":"0277-6715","type":"print"},{"value":"1097-0258","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,6,30]]}}}