Rossing R G, Hatcher W E
Comput Programs Biomed. 1979 Jan;9(1):69-74. doi: 10.1016/0010-468x(79)90019-9.
It has been suggested that the physician would be aided in his interpretation of clinical laboratory results if the data were reported in terms of percentile ranking in a reference population as well as in conventional units. This paper describes a FORTRAN porgram for estimating the necessary reference percentile values by means of regression over 20% of the distribution rather than by interpolation between adjacent points. The regression estimates are shown to have a negligible bias and to be somewhat more stable than those obtained by interpolation.
有人提出,如果临床实验室结果的数据能以参考人群中的百分位数排名以及传统单位来报告,医生在解读这些结果时将得到帮助。本文描述了一个FORTRAN程序,该程序通过对分布的20%进行回归来估计必要的参考百分位数,而不是通过相邻点之间的插值。结果表明,回归估计的偏差可以忽略不计,并且比通过插值获得的估计更稳定。