Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
10.3343/alm.2019.39.6.552
- Author:
Yeongsic KIM
1
;
Hae il PARK
;
Hae Kyung LEE
;
Hyun Su NAM
;
Yong Wha LEE
;
Sang Guk LEE
;
Younhee PARK
;
Woochang LEE
;
Myung Hyun NAM
;
Sang Hoon SONG
;
Jae Woo CHUNG
;
Jehoon LEE
Author Information
1. Department of Laboratory Medicine, The Catholic University of Korea, St. Vincent's Hospital, Suwon, Korea.
- Publication Type:Original Article
- Keywords:
Statistical software;
Korean Laboratory Accreditation Program;
R language;
CLSI;
LaboStats
- MeSH:
Accreditation;
Korea;
Mathematical Computing;
Methods;
Texas
- From:Annals of Laboratory Medicine
2019;39(6):552-560
- CountryRepublic of Korea
- Language:English
-
Abstract:
BACKGROUND: In Korea, the Korean Laboratory Accreditation Program (KLAP) has set minimum standards for verification of clinical test performance. This verification process is time-consuming and labor-intensive when performed manually. We developed a free, statistical software program for KLAP, using the R language (R Foundation for Statistical Computing, Vienna, Austria). METHODS: We used CLSI guidelines for the algorithm. We built graphic user interfaces, including data input, with Embarcadero Delphi EX4 (Embarcadero Technologies, Inc., Texas, USA). The R Base Package and MCR Package for Method Comparison Regression were used to implement statistical and graphical procedures. RESULTS: Our program LaboStats has six modules: parallel test, linearity, method comparison, precision, reference interval, and cutoff. Data can be entered into the field either manually or by copying and pasting from an MS Excel worksheet. Users can print out precise reports. CONCLUSIONS: LaboStats can be useful for evaluating clinical test performance characteristics and preparing documents requested by KLAP.
