论文标题
顺序因果推断中BLIP效应的假设检验
Hypothesis Testing of Blip Effects in Sequential Causal Inference
论文作者
论文摘要
在本文中，我们研究了治疗序列中治疗的BLIP /净作用的假设检验。我们说明，可能性比测试和得分测试可能会受到维数，无量悖论的诅咒，以及对无效假设下的标准参数的高维约束。另一方面，我们通过单点因果推理中处理的少量处理效应来构建WALD测试。我们表明，WALD测试可以在与WALD测试相同的假设下避免这些问题，以测试治疗的点效应。仿真研究表明，WALD测试达到了I型误差的标称水平和II型误差的低水平。一个真实的医学示例说明了如何在实践中进行WALD测试。
In this article, we study the hypothesis testing of the blip / net effects of treatments in a treatment sequence. We illustrate that the likelihood ratio test and the score test may suffer from the curse of dimensionality, the null paradox and the high-dimensional constraint on standard parameters under the null hypothesis. On the other hand, we construct the Wald test via a small number of point effects of treatments in single-point causal inference. We show that the Wald test can avoid these problems under the same assumptions as the Wald test for testing the point effect of treatment. The simulation study illustrates that the Wald test achieves the nominal level of type I error and a low level of type II error. A real medical example illustrates how to conduct the Wald test in practice.
