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

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dc.contributor.author박윤희-
dc.contributor.author이상국-
dc.date.accessioned2019-12-18T01:08:48Z-
dc.date.available2019-12-18T01:08:48Z-
dc.date.issued2019-
dc.identifier.issn2234-3806-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/173385-
dc.description.abstractBACKGROUND: 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.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorean Society for Laboratory Medicine-
dc.relation.isPartOfANNALS OF LABORATORY MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleDevelopment of Statistical Software for the Korean Laboratory Accreditation Program Using R Language: LaboStats-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Laboratory Medicine (진단검사의학교실)-
dc.contributor.googleauthorYeongsic Kim-
dc.contributor.googleauthorHae-il Park-
dc.contributor.googleauthorHae Kyung Lee-
dc.contributor.googleauthorHyun Su Nam-
dc.contributor.googleauthorYong-Wha Lee-
dc.contributor.googleauthorSang-Guk Lee-
dc.contributor.googleauthorYounhee Park-
dc.contributor.googleauthorWoochang Lee-
dc.contributor.googleauthorMyung-Hyun Nam-
dc.contributor.googleauthorSang-Hoon Song-
dc.contributor.googleauthorJae Woo Chung-
dc.contributor.googleauthorJehoon Lee-
dc.identifier.doi10.3343/alm.2019.39.6.552-
dc.contributor.localIdA01606-
dc.contributor.localIdA02810-
dc.relation.journalcodeJ00164-
dc.identifier.eissn2234-3814-
dc.identifier.pmid31240883-
dc.subject.keywordCLSI-
dc.subject.keywordKorean Laboratory Accreditation Program-
dc.subject.keywordLaboStats-
dc.subject.keywordR language-
dc.subject.keywordStatistical software-
dc.contributor.alternativeNamePark, Youn Hee-
dc.contributor.affiliatedAuthor박윤희-
dc.contributor.affiliatedAuthor이상국-
dc.citation.volume39-
dc.citation.number6-
dc.citation.startPage552-
dc.citation.endPage560-
dc.identifier.bibliographicCitationANNALS OF LABORATORY MEDICINE, Vol.39(6) : 552-560, 2019-
dc.identifier.rimsid63671-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers

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