Joint Estimation of Treatment and Placebo Effects in Clinical Trials With Longitudinal Blinding Assessments
利用纵向盲法评估联合估计治疗效应与安慰剂效应AI 解读 ↓
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分类依据与纠错
AI 根据所提供的论文材料归类：摘要明确以潜在治疗认知作为独立暴露，联合定义治疗与安慰剂因果效应，并采用纵向因果推断方法，分类依据直接。
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利用纵向盲法评估联合估计治疗效应与安慰剂效应
- 研究问题
- 在患者对所获治疗的认知可能产生安慰剂作用时，如何利用纵向盲法评估，将实际治疗效应与治疗认知效应区分？
- 方法与思路
- 作者将实际治疗和治疗认知作为两个暴露，在认知具有滞后效应且被重复测量的设定下，改编纵向因果推断方法。
- 材料陈述的贡献
- 摘要提出纵向随访中联合评价两类因果效应的框架，允许考虑单调缺失，并通过减重研究及模仿该研究的模拟比较方法。
- 阅读关注点
- 应核对两个暴露对应的因果效应定义、滞后认知假设、时变混杂与单调缺失的处理，以及盲法评估的测量可信度。
- 阅读边界
- 仅据版本未注明的 OpenAlex 索引摘要；联合效应的识别条件与各方法细节未说明，不能因实际治疗随机分配就认定认知效应已识别或推断刊本变化。
原文摘要
In some therapeutic areas, treatment evaluation is frequently complicated by a possible placebo effect (i.e., the psychobiological effect of a patient's knowledge or belief of being treated). When a substantial placebo effect is likely to exist, it is important to distinguish the treatment and placebo effects in quantifying the clinical benefit of a new treatment. These causal effects can be formally defined in a joint causal model that includes treatment (e.g., new versus placebo) and treatmentality (i.e., a patient's belief or mentality about which treatment she or he has received) as separate exposures. Information about the treatmentality exposure can be obtained from blinding assessments, which are increasingly common in clinical trials where blinding success is in question. Assuming that treatmentality has a lagged effect and is measured at multiple time points, this article is concerned with joint evaluation of treatment and placebo effects in clinical trials with longitudinal follow-up, possibly with monotone missing data. We describe and discuss several methods adapted from the longitudinal causal inference literature, apply them to a weight loss study, and compare them in simulation experiments that mimic the weight loss study.