Missing data in clinical trials

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dc.contributor.advisorValge, Marju, juhendaja
dc.contributor.advisorKorhonen, Pasi Antero, juhendaja
dc.contributor.authorKadastik, Birgit
dc.contributor.otherTartu Ülikool. Matemaatika ja statistika instituutet
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.date.accessioned2016-07-07T09:02:54Z
dc.date.available2016-07-07T09:02:54Z
dc.date.issued2016
dc.description.abstractThe aim of this Bachelor’s Thesis is to explain what missing data means and give some ways to deal with it in clinical trials. Firstly, an overview of different types of missing data is given and the reasons for their occurrence. Second part of the thesis explains which analytical approaches can be used to conduct an unbiased analysis. Further, missing data are simulated for a data set to show how the approaches described are used in practice with SAS software.en
dc.identifier.urihttp://hdl.handle.net/10062/52398
dc.language.isoenen
dc.subjectclinical trialsen
dc.subjectcomplete case analysisen
dc.subjectmissing at randomen
dc.subjectmissing completely at randomen
dc.subjectmissing dataen
dc.subjectmultiple imputationen
dc.subjectSASen
dc.subjectkliinilised uuringudet
dc.subjecttäielike andmetega analüüset
dc.subjectjuhuslik puudumineet
dc.subjecttäiesti juhuslik puudumineet
dc.subjectpuuduvad andmedet
dc.subjectmitmene asendamineet
dc.subject.otherbakalaureusetöödet
dc.titleMissing data in clinical trialsen
dc.typeThesisen

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LTMS bakalaureusetööd - Bachelor's theses.