Observational studies: practical tips for avoiding common statistical pitfalls
- PMID: 38863985
- PMCID: PMC11166024
- DOI: 10.1016/j.lansea.2024.100415
Observational studies: practical tips for avoiding common statistical pitfalls
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.
Keywords: Bias; Good practices; Inference; Observational study design; Statistical checklist; Statistical methodology; Statistical pitfalls.
Crown Copyright © 2024 Published by Elsevier Ltd.
Conflict of interest statement
This work was supported by the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 & The Alan Turing Institute, particularly the Turing Research Fellowship scheme under that grant. The author declares no conflicts of interest.
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