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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w27293 |
来源ID | Working Paper 27293 |
Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs | |
Charles F. Manski; Aleksey Tetenov | |
发表日期 | 2020-06-08 |
出版年 | 2020 |
语种 | 英语 |
摘要 | As the COVID-19 pandemic progresses, researchers are reporting findings of randomized trials comparing standard care with care augmented by experimental drugs. The trials have small sample sizes, so estimates of treatment effects are imprecise. Seeing imprecision, clinicians reading research articles may find it difficult to decide when to treat patients with experimental drugs. Whatever decision criterion one uses, there is always some probability that random variation in trial outcomes will lead to prescribing sub-optimal treatments. A conventional practice when comparing standard care and an innovation is to choose the innovation only if the estimated treatment effect is positive and statistically significant. This practice defers to standard care as the status quo. To evaluate decision criteria, we use the concept of near optimality, which jointly considers the probability and magnitude of decision errors. An appealing decision criterion from this perspective is the empirical success rule, which chooses the treatment with the highest observed average patient outcome in the trial. Considering the design of recent and ongoing COVID-19 trials, we show that the empirical success rule yields treatment results that are much closer to optimal than those generated by prevailing decision criteria based on hypothesis tests. |
主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health ; COVID-19 |
URL | https://www.nber.org/papers/w27293 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/584965 |
推荐引用方式 GB/T 7714 | Charles F. Manski,Aleksey Tetenov. Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs. 2020. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w27293.pdf(361KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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