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Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats

Authors
 Yeongsic Kim  ;  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 
Citation
 ANNALS OF LABORATORY MEDICINE, Vol.39(6) : 552-560, 2019 
Journal Title
ANNALS OF LABORATORY MEDICINE
ISSN
 2234-3806 
Issue Date
2019
Keywords
CLSI ; Korean Laboratory Accreditation Program ; LaboStats ; R language ; Statistical software
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.
Files in This Item:
T201904563.pdf Download
DOI
10.3343/alm.2019.39.6.552
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Park, Youn Hee(박윤희) ORCID logo https://orcid.org/0000-0001-8458-1495
Lee, Sang-Guk(이상국) ORCID logo https://orcid.org/0000-0003-3862-3660
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/173385
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