Course description
A scientific article typically provides the first table presenting characteristics for the study population. The characteristics include for example frequencies for categorical variables, mean and standard deviations for continuous variables, p values etc. There should also include tables typically presenting results out of several statistical analyses.
The ideal reproducible data analysis requires that the whole working process from data cleaning to the published results should be reproducible without any copy-and-paste because it is well-known that copy-and-paste Stata output can be not only tedious and time-consuming but also error prone. Therefore, workout a sequential Stata do-files automatically export both the descriptive and the analytical output is crucial not only to align with the principles of reproducible data analysis but also make the working process much more efficient.
Aim
The major aim of the course is to make at least part of data analysis to be reproducible - automatically export descriptive and analytical output to either Excel tables or word text avoiding any manual copy-paste.
Content
The course will introduce tools and Stata programming language automatically producing Excel tables of characteristics and analytical results.
In the section of results, it typically describes and highlights major findings. For doing so, this section typically combines the text and some of descriptive and/or analytical results (such as odds ratio, hazard ratio etc. together with 95% confidence interval) from the current study. The course will introduce Stata commands how to incorporate analytical results into text avoid manual copy-paste.
Finally, a few tricks/tips will be introduced to facilitate the process.
Prerequisite
The participants should have at least already participated in introduction course on Stata.
Teaching arrangement
Lectures + exercises in computer
Intended learning outcome
At the end of the course, students should be able to:
- Write Stata codes automatically exporting results to Excel tables.
- Write State codes automatically incorporate results into word document.
Course fee
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement" NorDoc.
For other participants there is a course fee of
DKK 4800
EUR 643