Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
- Authors
- Kim, Yeongsic; Park, Hae-il; Lee, Hae Kyung; Nam, Hyun Su; Lee, Yong-Wha; Lee, Sang-Guk; Park, Younhee; Lee, Woochang; Nam, Myung-Hyun; Song, Sang-Hoon; Chung, Jae Woo; Lee, Jehoon
- Issue Date
- Nov-2019
- Publisher
- 대한진단검사의학회
- Keywords
- Statistical software; Korean Laboratory Accreditation Program; R language; CLSI; LaboStats
- Citation
- Annals of Laboratory Medicine, v.39, no.6, pp 552 - 560
- Pages
- 9
- Journal Title
- Annals of Laboratory Medicine
- Volume
- 39
- Number
- 6
- Start Page
- 552
- End Page
- 560
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/4133
- DOI
- 10.3343/alm.2019.39.6.552
- ISSN
- 2234-3806
2234-3814
- 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.
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- Appears in
Collections - College of Medicine > Department of Clinical Pathology > 1. Journal Articles
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