Barkan Howard
Affiliated Researcher and Consulting Statistician, School of Public Health, University of California Berkeley, Berkeley, CA 94704.7380, Saybrook University, Oakland, CA 94612, USA.
Ann Card Anaesth. 2015 Jan-Mar;18(1):74-82. doi: 10.4103/0971-9784.148325.
Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used when the clinical processes being examined are still in process. We discuss methods for building predictive models in clinical situations, and ways to assess the stability of these models and other quantitative conclusions. Techniques for comparing independent events are distinguished from those used with events in a causal chain or otherwise linked. Attention then turns to study design, to the determination of the sample size needed to make a given comparison, and to statistically negative studies.
统计分析是循证临床实践的基础之一，是开展新的临床研究以及评估和应用既往研究的关键。在本文中，我们回顾了统计程序的选择、对变量之间关联的分析以及在临床过程仍在进行时所使用的技术。我们讨论了在临床情况下构建预测模型的方法，以及评估这些模型稳定性和其他定量结论的方法。比较独立事件的技术与用于因果链或其他关联事件的技术有所不同。随后关注点转向研究设计、确定进行特定比较所需的样本量，以及统计学阴性研究。
