Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials.

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作者： Joseph,Rigdon ^[1] ; Michael,Baiocchi ^[2] ; Sanjay,Basu ^[3]

作者单位： Quantitative Sciences Unit, Stanford University School of Medicine, 1070 Arastradero Road #3C3104, MC 5559, Palo Alto, California, 94304, USA. jrigdon@stanford.edu. ^[1] Stanford Prevention Research Center, Stanford University School of Medicine, Medical School Office Building, Room 318,1265 Welch Road, MC 5411, Stanford, CA, 94305, USA. ^[2] Departments of Medicine and of Health Research and Policy, Center for Primary Care and Outcomes Research and Center for Population Health Sciences, Stanford University School of Medicine, 1070 Arastradero Road, Office 282 MC 5560, Palo Alto, CA, 94304, USA. ^[3]

关键词 Classification and regression trees Decision support tool Heterogeneous treatment effects Matching

主题词老年人(Aged);肾小球滤过率(Glomerular Filtration Rate);人类(Humans);中年人(Middle Aged);随机对照试验(主题)(Randomized Controlled Trials as Topic);治疗结果(Treatment Outcome)

DOI 10.1186/s13063-018-2774-5

PMID 30012181

发布时间 2019-03-25

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