Selection of a statistical analysis method for the Glasgow Outcome Scale-Extended endpoint for estimating the probability of favorable outcome in future severe TBI clinical trials.

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作者： Yu,Wang ^[1] ; Sharon D,Yeatts ^[2] ; Renee' H,Martin ^[2] ; Robert,Silbergleit ^[3] ; Gaylan L,Rockswold ^[4] ; William G,Barsan ^[3] ; Frederick K,Korley ^[3] ; Sarah,Rockswold ^[4] ; Byron J,Gajewski ^[5]

作者单位： Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA.;Global Biometrics & Data Sciences, Bristol Myers Squibb, Lawrenceville, New Jersey, USA. ^[1] Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA. ^[2] Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA. ^[3] Department of Neurosurgery, University of Minnesota, Hennepin County Medical Center, Minneapolis, Minnesota, USA. ^[4] Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, USA. ^[5]

关键词 Bayesian design Glasgow outcome scale-extended clinical trials sliding scoring traumatic brain injury

主题词人类(Humans);贝叶斯定理(Bayes Theorem);格拉斯哥预后评分(Glasgow Outcome Scale);概率(Probability);预后(Prognosis);临床试验(主题)(Clinical Trials as Topic)

DOI 10.1002/sim.9877

PMID 37599009

发布时间 2024-11-11

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