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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society for Laboratory Medicine
2019
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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. |
format | Online Article Text |
id | pubmed-6660338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Korean Society for Laboratory Medicine |
record_format | MEDLINE/PubMed |
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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