{"title":"使用 R 管道的间接参考区间。","authors":"Dustin R Bunch","doi":"10.1016/j.jmsacl.2022.02.004","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Indirect reference intervals require robust statistical approaches to separate the pathological and healthy values. This can be achieved with a data pipeline created in R, a freely available statistical programming language.</p><p><strong>Methods: </strong>A data pipeline was created to ingest, partition, normalize, remove outliers, and identify reference intervals for testosterone (Testo; n = 7,207) and aspartate aminotransferase (AST; n = 5,882) using data sets from NHANES.</p><p><strong>Results: </strong>The estimates for AST and Testo determined by this pipeline approximated current RIs. Care should be taken when using this pipeline as there are limitations that depend on the pathology of the analyte and the data set being used for RI estimation.</p><p><strong>Conclusions: </strong>R can be used to create a robust statistical reference interval pipeline.</p>","PeriodicalId":45745,"journal":{"name":"JOURNAL OF NEAR EASTERN STUDIES","volume":"70 1","pages":"22-30"},"PeriodicalIF":0.6000,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889237/pdf/","citationCount":"0","resultStr":"{\"title\":\"Indirect reference intervals using an R pipeline.\",\"authors\":\"Dustin R Bunch\",\"doi\":\"10.1016/j.jmsacl.2022.02.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Indirect reference intervals require robust statistical approaches to separate the pathological and healthy values. This can be achieved with a data pipeline created in R, a freely available statistical programming language.</p><p><strong>Methods: </strong>A data pipeline was created to ingest, partition, normalize, remove outliers, and identify reference intervals for testosterone (Testo; n = 7,207) and aspartate aminotransferase (AST; n = 5,882) using data sets from NHANES.</p><p><strong>Results: </strong>The estimates for AST and Testo determined by this pipeline approximated current RIs. Care should be taken when using this pipeline as there are limitations that depend on the pathology of the analyte and the data set being used for RI estimation.</p><p><strong>Conclusions: </strong>R can be used to create a robust statistical reference interval pipeline.</p>\",\"PeriodicalId\":45745,\"journal\":{\"name\":\"JOURNAL OF NEAR EASTERN STUDIES\",\"volume\":\"70 1\",\"pages\":\"22-30\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889237/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF NEAR EASTERN STUDIES\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jmsacl.2022.02.004\",\"RegionNum\":1,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/4/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"0\",\"JCRName\":\"ARCHAEOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF NEAR EASTERN STUDIES","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jmsacl.2022.02.004","RegionNum":1,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/4/1 0:00:00","PubModel":"eCollection","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
Background: Indirect reference intervals require robust statistical approaches to separate the pathological and healthy values. This can be achieved with a data pipeline created in R, a freely available statistical programming language.
Methods: A data pipeline was created to ingest, partition, normalize, remove outliers, and identify reference intervals for testosterone (Testo; n = 7,207) and aspartate aminotransferase (AST; n = 5,882) using data sets from NHANES.
Results: The estimates for AST and Testo determined by this pipeline approximated current RIs. Care should be taken when using this pipeline as there are limitations that depend on the pathology of the analyte and the data set being used for RI estimation.
Conclusions: R can be used to create a robust statistical reference interval pipeline.
期刊介绍：
Devoted to an examination of the civilizations of the Near East, the Journal of Near Eastern Studies has for 125 years published contributions from scholars of international reputation on the archaeology, art, history, languages, literatures, and religions of the Near East. Founded in 1884 as Hebraica, the journal was renamed twice over the course of the following century, each name change reflecting the growth and expansion of the fields covered by the publication. In 1895 it became the American Journal of Semitic Languages and Literatures, and in 1942 it received its present designation, the Journal of Near Eastern Studies. From an original emphasis on Old Testament studies in the nineteenth century.
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