DSpace
    • English
    • Deutsch
    • Eesti
  • English 
    • English
    • Deutsch
    • Eesti
  • Login
View Item 
  •   DSpace @University of Tartu
  • Loodus- ja täppisteaduste valdkond
  • Matemaatika ja statistika instituut
  • LTMS bakalaureusetööd - Bachelor's theses.
  • View Item
  •   DSpace @University of Tartu
  • Loodus- ja täppisteaduste valdkond
  • Matemaatika ja statistika instituut
  • LTMS bakalaureusetööd - Bachelor's theses.
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Missing data in clinical trials

Thumbnail
View/Open
kadastik_birgit_bsc_2016.pdf (842.2Kb)
Date
2016
Author
Kadastik, Birgit
Metadata
Show full item record
Abstract
The 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.
URI
http://hdl.handle.net/10062/52398
Collections
  • LTMS bakalaureusetööd - Bachelor's theses. [175]

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV