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

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Laboratory Medicine 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660338/
https://www.ncbi.nlm.nih.gov/pubmed/31240883
http://dx.doi.org/10.3343/alm.2019.39.6.552
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author 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
author_facet 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
author_sort Kim, Yeongsic
collection PubMed
description 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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spelling pubmed-66603382019-11-01 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 Ann Lab Med Original Article 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. The Korean Society for Laboratory Medicine 2019-11 2019-06-25 /pmc/articles/PMC6660338/ /pubmed/31240883 http://dx.doi.org/10.3343/alm.2019.39.6.552 Text en © The Korean Society for Laboratory Medicine http://creativecommons.org/licenses/by-nc/4.0/ 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.
spellingShingle Original Article
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
title Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
title_full Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
title_fullStr Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
title_full_unstemmed Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
title_short Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
title_sort development of statistical software for the korean laboratory accreditation program using r language: labostats
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660338/
https://www.ncbi.nlm.nih.gov/pubmed/31240883
http://dx.doi.org/10.3343/alm.2019.39.6.552
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