This article reviews challenges in interpreting observational COVID-19 data due to biases from non-random sampling, discussing strategies to address these biases but reporting no new results.
3 citations
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April 2025 in “Journal of Clinical Epidemiology” This study found that non-blinded assessors in randomized clinical trials exaggerated the effects of experimental interventions by about 29% compared to blinded assessors, indicating a significant potential for observer bias in treatment evaluations.
867 citations
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November 2020 in “Nature Communications” This review discusses the challenges of interpreting observational studies on COVID-19 due to biases from non-representative samples, such as collider bias, and suggests better sampling methods to mitigate these issues.
6 citations
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February 2025 in “BMC Medical Research Methodology” This study reports that discrepancies in adverse event reporting for clinical blood pressure trials undermine the reliability of safety data, suggesting a need for standardized reporting guidelines to improve trustworthiness.
1 citations
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August 2013 in “Journal of Clinical Epidemiology” This narrative review discusses various epidemiological study designs, the importance of reliable bias assessment tools, and the implications of database use for hypothesis testing in different research areas; it reports no new results.