| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w27895
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| 来源ID | Working Paper 27895
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| Discovering Treatment Effectiveness via Median Treatment Effects\u2014Applications to COVID-19 Clinical Trials |
| John Mullahy
|
| 发表日期 | 2020-10-05
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| 出版年 | 2020
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| 语种 | 英语
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| 摘要 | Comparing median outcomes to gauge treatment effectiveness is widespread practice in clinical and other investigations. While common, such difference-in-median characterizations of effectiveness are but one way to summarize how outcome distributions compare. This paper explores properties of median treatment effects as indicators of treatment effectiveness. The paper's main focus is on decisionmaking based on median treatment effects and it proceeds by considering two paths a decisionmaker might follow. Along one, decisions are based on point-identified differences in medians alongside partially identified median differences; along the other decisions are based on point-identified differences in medians in conjunction with other point-identified parameters. On both paths familiar difference-in-median measures play some role yet in both the traditional standards are augmented with information that will often be relevant in assessing treatments' effectiveness. Implementing both approaches is shown to be straightforward. In addition to its analytical results the paper considers several policy contexts in which such considerations arise. While the paper is framed by recently reported findings on treatments for COVID-19 and uses several such studies to explore empirically some properties of median-treatment-effect measures of effectiveness, its results should be broadly applicable. |
| 主题 | Econometrics
; Estimation Methods
; Health, Education, and Welfare
; Health
; COVID-19
|
| URL | https://www.nber.org/papers/w27895
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585568
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推荐引用方式
GB/T 7714 |
John Mullahy. Discovering Treatment Effectiveness via Median Treatment Effects\u2014Applications to COVID-19 Clinical Trials. 2020.
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文件名：
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w27895.pdf
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格式：
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Adobe PDF
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