{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T01:32:29Z","timestamp":1788917549505,"version":"build-2803163510"},"reference-count":41,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T00:00:00Z","timestamp":1659398400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["1171422"],"award-info":[{"award-number":["1171422"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Respirology"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The use of Bayesian adaptive designs for clinical trials has increased in recent years, particularly during the COVID\u201019 pandemic. Bayesian adaptive designs offer a flexible and efficient framework for conducting clinical trials and may provide results that are more useful and natural to interpret for clinicians, compared to traditional approaches. In this review, we provide an introduction to Bayesian adaptive designs and discuss its use in recent clinical trials conducted in respiratory medicine. We illustrate this approach by constructing a Bayesian adaptive design for a multi\u2010arm trial that compares two non\u2010invasive ventilation treatments to standard oxygen therapy for patients with acute cardiogenic pulmonary oedema. We highlight the benefits and some of the challenges involved in designing and implementing Bayesian adaptive trials.<\/jats:p>","DOI":"10.1111\/resp.14337","type":"journal-article","created":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T01:59:31Z","timestamp":1659491971000},"page":"834-843","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Bayesian adaptive clinical trial designs for respiratory medicine"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9367-4204","authenticated-orcid":false,"given":"Elizabeth G.","family":"Ryan","sequence":"first","affiliation":[{"name":"School of Public Health and Preventive Medicine Monash University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominique\u2010Laurent","family":"Couturier","sequence":"additional","affiliation":[{"name":"Cancer Research UK \u2010 Cambridge Institute, University of Cambridge  Cambridge UK"},{"name":"Medical Research Council Biostatistics Unit University of Cambridge  Cambridge UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephane","family":"Heritier","sequence":"additional","affiliation":[{"name":"School of Public Health and Preventive Medicine Monash University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2022,8,2]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-018-1017-7"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10654-016-0149-3"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/0470092602"},{"key":"e_1_2_11_5_1","volume-title":"Bayesian adaptive methods for clinical trials","author":"Berry SM","year":"2011"},{"key":"e_1_2_11_6_1","volume-title":"Doing Bayesian data analysis: a tutorial with R, JAGS, and Stan","author":"Kruschke JK","year":"2014"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780429029608"},{"key":"e_1_2_11_8_1","volume-title":"Group sequential tests with applications to clinical trials","author":"Jennison C","year":"2000"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1214\/18-BA1109"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/10543406.2014.888569"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13063-021-05521-0"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/10543400600614742"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/17512433.2017.1321985"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-019-0739-3"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1215716"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.202005-478SD"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1177\/1740774513497293"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(21)00460-4"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2010.32.2685"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2007.01.006"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2011.39.8420"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.1177\/1740774517692302"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1177\/1740774519877836"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2010.31.1423"},{"key":"e_1_2_11_25_1","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdv238"},{"key":"e_1_2_11_26_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djx013"},{"key":"e_1_2_11_27_1","doi-asserted-by":"publisher","DOI":"10.1177\/1740774516665090"},{"key":"e_1_2_11_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pupt.2010.01.003"},{"key":"e_1_2_11_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/19466315.2020.1764382"},{"key":"e_1_2_11_30_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0006-341X.2002.00823.x"},{"key":"e_1_2_11_31_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0707992"},{"key":"e_1_2_11_32_1","doi-asserted-by":"publisher","DOI":"10.1136\/rapm-2018-100248"},{"key":"e_1_2_11_33_1","unstructured":"Fixed and Adaptive Clinical Trial Simulator (FACTS).2021. 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