Data Management for Research Studies Using SAS Software
Author Information
Author(s): Robin L Kruse, David R Mehr
Primary Institution: University of Missouri School of Medicine
Hypothesis
How can data management be effectively implemented in prospective research studies?
Conclusion
Effective data management is crucial for maintaining data quality and integrity in prospective studies.
Supporting Evidence
- Data management procedures resulted in over 20,000 completed forms.
- The study highlighted the importance of planning data management in advance.
- Regular meetings helped resolve potential errors quickly.
Takeaway
This study shows that keeping track of data carefully helps researchers find and fix mistakes quickly, making their research better.
Methodology
The study used SAS software to manage data from a large prospective cohort study of nursing home residents with lower respiratory infections.
Potential Biases
Potential biases could arise from missing data and the reliance on self-reported information.
Limitations
Some variables were omitted from initial data collection forms, requiring re-abstracting of medical records.
Participant Demographics
Nursing home residents, primarily aged 60 and older.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website