| 标题 |
[高分]
 Combining Primary Cohort Data with External Aggregate Information Without Assuming Comparability 在不假设可比性的情况下，将主要队列数据与外部汇总信息相结合
相关领域
可比性
骨料（复合）
队列
统计
计算机科学
计量经济学
数学
医学
材料科学
组合数学
复合材料
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| 其它 | In comparative effectiveness research (CER) for rare types of cancer, it is appealing to combine primary cohort data containing detailed tumor profiles together with aggregate information derived from cancer registry databases. Such integration of data may improve statistical efficiency in CER. A major challenge in combining information from different resources, however, is that the aggregate information from the cancer registry databases could be incomparable with the primary cohort data, which are often collected from a single cancer center or a clinical trial. We develop an adaptive estimation procedure, which uses the combined information to determine the degree of information borrowing from the aggregate data of the external resource. We establish the asymptotic properties of the estimators and evaluate the finite sample performance via simulation studies. The proposed method yields a substantial gain in statistical |
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