Who Makes It to the End? A Novel Predictive Model for Identifying Surgical Residents at Risk for Attrition

Yeo Heather L.; Abelson Jonathan S.; Mao Jialin; Lewis Frank; Michelassi Fabrizio; Bell Richard; Sedrakyan Art; Sosa Julie A.

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Who Makes It to the End? A Novel Predictive Model for Identifying Surgical Residents at Risk for Attrition

机译：谁结束了？一种识别磨损风险外科居民的新型预测模型

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Objective: We present 8-year follow-up data from the intern class of 2007 to 2008 using a novel, nonparametric predictive model to identify those residents who are at greatest risk of not completing their training.

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来源
《Annals of Surgery》 |2017年第3期|共9页
作者
Yeo Heather L.; Abelson Jonathan S.; Mao Jialin; Lewis Frank; Michelassi Fabrizio; Bell Richard; Sedrakyan Art; Sosa Julie A.;
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作者单位

New York Presbyterian Hosp Weill Cornell Med Dept Surg New York NY USA;

New York Presbyterian Hosp Weill Cornell Med Dept Surg New York NY USA;

Weill Cornell Med Dept Healthcare Policy &

Res New York NY USA;

Amer Board Surg Inc Philadelphia PA USA;

New York Presbyterian Hosp Weill Cornell Med Dept Surg New York NY USA;

Amer Board Surg Inc Philadelphia PA USA;

Weill Cornell Med Dept Healthcare Policy &

Res New York NY USA;

Duke Univ Med Ctr Dept Surg Duke Canc Inst Durham NC 27710 USA;

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原文格式 PDF
正文语种 eng
中图分类外科学;
关键词
attrition; female; general surgery; longitudinal studies; statistical models;

机译：Traintition;女性;普通手术;纵向研究;统计模型;
入库时间 2022-08-20 17:40:53

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5. Who Makes It to the End? A Novel Predictive Model for Identifying Surgical Residents at Risk for Attrition [J] . Yeo Heather L., Abelson Jonathan S., Mao Jialin, Annals of Surgery . 2017,第3期

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Who Makes It to the End? A Novel Predictive Model for Identifying Surgical Residents at Risk for Attrition

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