Vollmer R T
Department of Laboratory Medicine, VA Medical Center, Durham, NC 27705, USA.
Am J Clin Pathol. 1996 Jan;105(1):115-26. doi: 10.1093/ajcp/105.1.115.
This paper reviews concepts of multivariate statistical modeling via the logistic regression model, which has become very popular for modeling the relationship between a positive clinical outcome and a variety of predictor variables. The process is illustrated using a composite of data from three large prostate specific antigen based screening studies of prostate cancer.
本文通过逻辑回归模型回顾了多元统计建模的概念,该模型在对阳性临床结果与各种预测变量之间的关系进行建模方面已变得非常流行。使用来自三项基于前列腺特异性抗原的大型前列腺癌筛查研究的数据组合来说明这一过程。