Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yeongsic | - |
dc.contributor.author | Park, Hae-il | - |
dc.contributor.author | Lee, Hae Kyung | - |
dc.contributor.author | Nam, Hyun Su | - |
dc.contributor.author | Lee, Yong-Wha | - |
dc.contributor.author | Lee, Sang-Guk | - |
dc.contributor.author | Park, Younhee | - |
dc.contributor.author | Lee, Woochang | - |
dc.contributor.author | Nam, Myung-Hyun | - |
dc.contributor.author | Song, Sang-Hoon | - |
dc.contributor.author | Chung, Jae Woo | - |
dc.contributor.author | Lee, Jehoon | - |
dc.date.accessioned | 2021-09-01T01:27:15Z | - |
dc.date.available | 2021-09-01T01:27:15Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2019-11 | - |
dc.identifier.issn | 2234-3806 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/62098 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | KOREAN SOC LABORATORY MEDICINE | - |
dc.subject | REQUIREMENTS | - |
dc.subject | QUALITY | - |
dc.subject | REAGENTS | - |
dc.title | Development of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Nam, Myung-Hyun | - |
dc.identifier.doi | 10.3343/alm.2019.39.6.552 | - |
dc.identifier.scopusid | 2-s2.0-85068848749 | - |
dc.identifier.wosid | 000473335000007 | - |
dc.identifier.bibliographicCitation | ANNALS OF LABORATORY MEDICINE, v.39, no.6, pp.552 - 560 | - |
dc.relation.isPartOf | ANNALS OF LABORATORY MEDICINE | - |
dc.citation.title | ANNALS OF LABORATORY MEDICINE | - |
dc.citation.volume | 39 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 552 | - |
dc.citation.endPage | 560 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002515878 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Medical Laboratory Technology | - |
dc.relation.journalWebOfScienceCategory | Medical Laboratory Technology | - |
dc.subject.keywordPlus | REQUIREMENTS | - |
dc.subject.keywordPlus | QUALITY | - |
dc.subject.keywordPlus | REAGENTS | - |
dc.subject.keywordAuthor | Statistical software | - |
dc.subject.keywordAuthor | Korean Laboratory Accreditation Program | - |
dc.subject.keywordAuthor | R language | - |
dc.subject.keywordAuthor | CLSI | - |
dc.subject.keywordAuthor | LaboStats | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.