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Reproducible Research in Public Health

DC Field Value Language
dc.contributor.authorKim, Jinseob-
dc.contributor.authorSung, Joohon-
dc.creator성주헌-
dc.date.accessioned2014-11-13T01:59:48Z-
dc.date.available2014-11-13T01:59:48Z-
dc.date.issued2014-06-30-
dc.identifier.citationThe International R Users Conference, UseR! 2014, University of California, Los Angeles, June 30-July 3, 2014-
dc.identifier.urihttps://hdl.handle.net/10371/93537-
dc.description.abstractIn this study, we aimed to construct pipelinesof reproducible statistical analysis in healthresearch. The development of pipelines in thisstudy consists of? Automatic suggestions of a summary tabledescribing the general characteristics of thestudy? Univariate analysis of both explanatory andoutcome variables of a study? Graphical presentations of summary andunivariate analyses? Automatic analysis and tabulations of mainresultsbased on frequently used analytical methodsin the health research area (e.g., multiple regression,logistic regression, survival analysis,multilevel analysis, genome-wide associationstudy(GWAS)en
dc.language.isoenen
dc.publisherThe R User Conference 2014en
dc.subject복합학en
dc.subjectReprducible research-
dc.subjectLATEX-
dc.subjectPublic health-
dc.subjectknitr-
dc.titleReproducible Research in Public Healthen
dc.typeConference Paper-
dc.contributor.AlternativeAuthor김진섭-
dc.contributor.AlternativeAuthor성주헌-
dc.description.srndOAIID:oai:osos.snu.ac.kr:snu2014-01/104/0000040632/3-
dc.description.srndSEQ:3-
dc.description.srndPERF_CD:SNU2014-01-
dc.description.srndEVAL_ITEM_CD:104-
dc.description.srndUSER_ID:0000040632-
dc.description.srndADJUST_YN:N-
dc.description.srndEMP_ID:A077602-
dc.description.srndDEPT_CD:902-
dc.description.srndCITE_RATE:0-
dc.description.srndFILENAME:the r user - 표지 abstracts.pdf-
dc.description.srndDEPT_NM:보건학과-
dc.description.srndCONFIRM:Y-
dc.identifier.srnd2014-01/104/0000040632/3-
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