Ann Lab Med 2019; 39(6): 552-560  https://doi.org/10.3343/alm.2019.39.6.552
Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
Yeongsic Kim , M.D.1, Hae-il Park , M.D.2, Hae Kyung Lee , M.D.3, Hyun Su Nam , B.A.3, Yong-Wha Lee , M.D.4, Sang-Guk Lee , M.D.5, Younhee Park , M.D.5, Woochang Lee , M.D.6, Myung-Hyun Nam , M.D.7, Sang-Hoon Song , M.D.8, Jae Woo Chung , M.D.9, and Jehoon Lee , M.D.10
1Department of Laboratory Medicine, The Catholic University of Korea, St. Vincent’s Hospital, Suwon, Korea; 2Department of Laboratory Medicine, The Catholic University of Korea, Bucheon St. Mary’s Hospital, Bucheon, Korea; 3Department of Laboratory Medicine, The Catholic University of Korea, Uijeongbu St. Mary’s Hospital, Uijeongbu, Korea; 4Department of Laboratory Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea; 5Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea; 6Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea; 7Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea; 8Department of Laboratory Medicine, Seoul National University Bundang Hospital, Seongnam, Korea; 9Department of Laboratory Medicine, Dongguk University Ilsan Hospital, Goyang, Korea; 10Department of Laboratory Medicine, The Catholic University of Korea, Eunpyeong St. Mary’s Hospital, Seoul, Korea
Corresponding author: Jehoon Lee, M.D.
Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, Eunpyeong St. Mary’s Hospital 1021 Tongil-ro, Eunpyeong-gu, Seoul 03312, Korea
Tel: +82-2-2030-3160 Fax: +82-2-2030-3161 E-mail: lyejh@catholic.ac.kr
Received: November 21, 2018; Revised: April 2, 2019; Accepted: June 13, 2019; Published online: November 1, 2019.
© Korean Society for Laboratory Medicine. All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: Statistical software, Korean Laboratory Accreditation Program, R language, CLSI, LaboStats



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