回归不连续设计
医学
研究设计
管理科学
卫生政策
领域(数学)
工具变量
临床研究设计
中断时间序列
工程伦理学
公共卫生
计量经济学
护理部
社会科学
社会学
工程类
经济
病理
纯数学
临床试验
数学
心理干预
作者
Joseph N Fahmy,Meghan N Cichocki,Kevin C Chung
标识
DOI:10.1097/prs.0000000000009974
摘要
Health policy impacts all aspects of the authors' field. Research on this topic informs future policy direction and serves as an impactful means to advocate for their patients. The present work aims to promote policy research in plastic surgery. To accomplish this goal, the authors discuss quasi-experimental research design. The authors include in-depth discussion regarding study techniques that are well suited to health policy, including interrupted time series, difference-in-differences analysis, regression discontinuity design, and instrumental variable design. For each study design, the authors discuss examples and potential limitations.
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