Department of Emergency Medicine, Kern Medical Center, 1830 Flower Street, Bakersfield, CA 93305.
West J Emerg Med. 2008 Jan;9(1):13-9.
Prediction models using multiple logistic regression are appearing with increasing frequency in the medical literature. Problems associated with these models include the complexity of computations when applied in their pure form, and lack of availability at the bedside. Personal digital assistant (PDA) hand-held devices equipped with spreadsheet software offer the clinician a readily available and easily applied means of applying predictive models at the bedside. The purposes of this article are to briefly review regression as a means of creating predictive models and to describe a method of choosing and adapting logistic regression models to emergency department (ED) clinical practice.
使用多项逻辑回归的预测模型在医学文献中出现的频率越来越高。这些模型存在一些问题,包括纯模型应用时的计算复杂性,以及床边缺乏实用性。配备电子数据表软件的个人数字助理(PDA)手持设备为临床医生提供了一种现成的、易于应用的方法,可在床边应用预测模型。本文的目的是简要回顾回归作为创建预测模型的一种手段,并描述一种选择和调整逻辑回归模型以适应急诊科(ED)临床实践的方法。