A review for clinical outcomes research: hypothesis generation, data strategy, and hypothesis-driven statistical analysis

临床结果研究综述:假设生成、数据策略和假设驱动的统计分析

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Abstract

In recent years, more and more large, population-level databases have become available for clinical research. The size and complexity of these databases often present a methodological challenge for investigators. We propose that a "protocol" may facilitate the research process using these databases. In addition, much like the structured History and Physical (H&P) helps the audience appreciate the details of a patient case more systematically, a formal outcomes research protocol can also help in the systematic evaluation of an outcomes research manuscript.

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