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Using Stata with many datasets, methods, and variables

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  • Are Hugo Pripp

    (Oslo Centre for Biostatistics and Epidemiology (OCBE))

Abstract

Complex data management and extensive analysis of data can be challenging in research projects. Compared with a classical textbook example with one clean dataset and a few selected variables and models, medical research projects often involve many datasets in different formats and use a range of statistical methods and many variables and outcomes. Stata has features for keeping track of datasets, automating statistical analyses, and summarizing results. Some experiences and practical tips with commands such as import, foreach, putexcel, and dtable in combination with the use of macros will be presented. These can be helpful for efficiently solving complex tasks, obtaining overviews of data and methods, and reporting statistical results to a multidisciplinary research group.

Suggested Citation

  • Are Hugo Pripp, "undated". "Using Stata with many datasets, methods, and variables," Northern European Stata Conference 2024 06, Stata Users Group.
    • Handle: RePEc:boc:neur24:06
    as

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    File URL: http://repec.org/neur2024/Northern_Europe24_Pripp.pdf
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