Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary Subgroups
仅凭试验报告的二元亚组分析,部分识别个体化治疗反应
Medical journals have adhered to a reporting practice that seriously limits the usefulness of published trial findings. Medical decision makers commonly observe many patient covariates and seek to use this information to personalize treatment choices. Yet standard summaries of trial findings only partition subjects into broad subgroups, typically into binary categories. Given this reporting practice, we study the problem of inference on long mean treatment outcomes…