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 journalArticleResearchpeer-review

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
StatePublished - 1 Nov 2019

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Accreditation
Language
Software
Mathematical Computing
Copying
Austria
Korea
User interfaces
Personnel
Guidelines
Technology

Keywords

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

Cite this

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. / Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language : LaboStats. In: Annals of laboratory medicine. 2019 ; Vol. 39, No. 6. pp. 552-560.
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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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Kim, Y, Park, HI, Lee, HK, Nam, HS, Lee, YW, Lee, SG, Park, Y, Lee, W, Nam, MH, Song, SH, Chung, JW & Lee, J 2019, 'Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats', Annals of laboratory medicine, vol. 39, no. 6, pp. 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. / 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.

In: Annals of laboratory medicine, Vol. 39, No. 6, 01.11.2019, p. 552-560.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language

T2 - LaboStats

AU - Kim, Yeongsic

AU - Park, Hae Il

AU - Lee, Hae Kyung

AU - Nam, Hyun Su

AU - Lee, Yong Wha

AU - Lee, Sang Guk

AU - Park, Younhee

AU - Lee, Woochang

AU - Nam, Myung Hyun

AU - Song, Sang Hoon

AU - Chung, Jae Woo

AU - Lee, Jehoon

N1 - © The Korean Society for Laboratory Medicine.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - 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.

AB - 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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JO - Annals of Laboratory Medicine

JF - Annals of Laboratory Medicine

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