Observational studies: practical tips for avoiding common statistical pitfalls.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 38863985.
- Also identified by DOI 10.1016/j.lansea.2024.100415 and PMC identifier 11166024.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
This Personal View is intended for early-career researchers who are not yet experts in statistics. The Personal View focuses on common but usually avoidable flaws in the context of observational studies. I point out how study design, data collection, and statistical methods impact statistical results and research conclusions. With particular attention to study planning, sample selection, biases, lack of transparency and results misinterpretations.