Hej,
Today we're leaning how to build your own data management before doing statistical analysis. https://enochytchen.com/courses/biostatbasics/dataman/
This lecture is initially designed for Applied Epidemiology I (4FH089) Stata lab sessions for MSc students in Public Health Sciences at Karolinska Institutet 🇸🇪, Spring 2021.
⏰TIMESTAMPS
1. 00:51 What if no data management?
2. 02:30 Aims of data management
3. 03:10 Good folder structure
4. 04:06 Good documents
5. 05:58 Good Readme.txt
6. 06:21 Good habits on coding
7. 08:40 Other do's and don'ts
8. 11:30 Wrap up
📝Other resources
1. Anna Johansson, Data Management and research documentation for researchers. https://play.ki.se/media/Data+Management+and+research+documentation+for+researchers/0_h64ki6v7?_ga=2.131118287.1557257458.1589785892-1364153581.1557067020
2. MEB Guidelines for Documentation and Archiving. https://enochytchen.com/courses/biostatbasics/dataman/MEB_guideline_v6.pdf
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About myself:
I am a Research Assistant at the Biostatistics Group at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet. My main research interests are developing and applying statistical approaches for register-based epidemiological studies, particularly in survival analysis and cost-effectiveness studies in health technology assessment.
Personal website:
enochytchen.com
