论文标题
在计划减少暴力的随机试验中，结果编码选择
Outcome coding choice in randomized trials of programs to reduce violence
论文作者
论文摘要
在过去的十年中，减少亲密伴侣暴力（IPV）的计划随机试验的数量已急剧增长。但是，大多数试验继续使用最初为全球患病率调查设计的标准来衡量和代码暴力。这种选择可能会影响试验估算的偏见，权力和效率，并且可能会限制我们可以了解程序的工作方式。在本文中，我们返回第一原则，以开发一种减少暴力的生成模型。然后，我们使用此模型通过仿真更好地理解出现编码选择的权衡。我们重新分析了南非南非和东部最近的七项试验，以突出我们的一些发现。最后，我们讨论了对审判者的关键外卖者的讨论。
Over the last decade, the number of randomized trials of programs to reduce intimate partner violence (IPV) has grown precipitously. However, most trials continue to measure and code violence using standards originally designed for global prevalence surveys. This choice may have consequences in terms of bias, power, and efficiency of trial estimates and may limit what we can learn about how programs are working. In this paper, we return to first principles to develop a generative model for violence reduction. We then use this model to better understand trade-offs in outcome coding choices via simulation. We re-analyze results from seven recent trials in Southern and Eastern Africa to highlight some of our findings. We conclude with a discussion of key take-aways for trialists.
