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

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

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)552-560
Number of pages9
JournalAnnals of laboratory medicine
Volume39
Issue number6
DOIs
Publication statusPublished - 2019 Nov 1

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Keywords

  • CLSI
  • Korean Laboratory Accreditation Program
  • LaboStats
  • R language
  • Statistical software

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Biochemistry, medical

Cite this

Kim, Y., Park, H. I., Lee, H. K., Nam, H. S., Lee, Y. W., Lee, S. G., Park, Y., Lee, W., Nam, M. H., Song, S. H., Chung, J. W., & Lee, J. (2019). Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats. Annals of laboratory medicine, 39(6), 552-560. https://doi.org/10.3343/alm.2019.39.6.552