Cugini P, Leone G, Sepe M, Di Palma L
Endocrine Pathophysiology (Chronobiology Unit), University of Rome, La Sapienza, Italy.
Comput Methods Programs Biomed. 1990 Oct;33(2):109-16. doi: 10.1016/0169-2607(90)90068-k.
Biomedical research is frequently confronted with regression lines that directionally describe the trend of phenomena, each one represented by a set of correlated x and y data. There could be a need to verify whether the regressions lines of two (or more) phenomena are statistically comparable in their slopes and intercepts, in order to draw conclusions about the similarity or dissimilarity of the conditions under scrutiny. The parallelism test the principles and methodology of which are presented here addresses this problem. A program for microcomputers is supplied as a non-profit software that can be freely shared on the understanding that the copyright belongs to the authors of this article.
生物医学研究经常会遇到回归线，这些回归线定向描述了现象的趋势，每条回归线由一组相关的x和y数据表示。可能需要验证两个（或更多）现象的回归线在斜率和截距上是否具有统计学可比性，以便就所研究条件的相似性或差异性得出结论。本文介绍其原理和方法的平行性检验解决了这个问题。提供了一个用于微型计算机的程序作为非营利软件，可以在版权归本文作者所有的前提下自由共享。
