Statistical methods for establishing and validating reference intervals

被引:11
作者
Bertholf, RL [1 ]
机构
[1] Univ Florida, Hlth Sci Ctr Jacksonville, Jacksonville, FL 32209 USA
来源
LABMEDICINE | 2006年 / 37卷 / 05期
关键词
D O I
10.1309/CBMHPRFNLU1XA4XV
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Reference intervals are an essential part of laboratory medicine, and accreditation standards require that every laboratory result is accompanied by an appropriate reference interval to provide guidance in the interpretation of the test. Furthermore, the Clinical Laboratory Improvement Act of 1988 (CLIA '88) requires laboratories to verify that the reference interval accompanying a laboratory result is appropriate for the patient population the laboratory serves, These 2 tasks are fundamental to providing quality laboratory services. In this review, we will consider the statistical methods that can be applied to establish and validate reference intervals.
引用
收藏
页码:306 / 310
页数:5
相关论文
共 8 条
[1]  
BARRY PL, METHOD VALIDATION RE
[2]  
*CLSI, 1995, C28A CLSI
[3]   Inherent biological variation and reference values [J].
Fraser, CG .
CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2004, 42 (07) :758-764
[4]  
HARRIS EK, 1972, CLIN CHEM, V18, P605
[5]  
HOLMES EW, 1994, CLIN CHEM, V40, P2216
[6]   THE MONTE CARLO METHOD [J].
METROPOLIS, N ;
ULAM, S .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1949, 44 (247) :335-341
[7]  
CLIA 88
[8]  
FDA 510K REQUIREMENT