Abstract
Definitive solutions won’t come from another million observational papers or small randomized trials
Keywords
PsychologyData scienceComputer science
Affiliated Institutions
Related Publications
Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children
The Avon Longitudinal Study of Parents and Children (ALSPAC) is a transgenerational prospective observational study investigating influences on health and development across the...
Data dredging, bias, or confounding
On 4 October 2002, women who were moderate drinkers received good news: their risk of breast cancer was not raised, according to a report in the Lancet that was widely covered b...
Effects of Protein, Monounsaturated Fat, and Carbohydrate Intake on Blood Pressure and Serum Lipids
In the setting of a healthful diet, partial substitution of carbohydrate with either protein or monounsaturated fat can further lower blood pressure, improve lipid levels, and r...
Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
Abstract Observational epidemiological studies suffer from many potential biases, from confounding and from reverse causation, and this limits their ability to robustly identify...
Publication Info
- Year
- 2013
- Type
- editorial
- Volume
- 347
- Issue
- nov14 3
- Pages
- f6698-f6698
- Citations
- 266
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
266
OpenAlex
Cite This
John P. A. Ioannidis
(2013).
Implausible results in human nutrition research.
BMJ
, 347
(nov14 3)
, f6698-f6698.
https://doi.org/10.1136/bmj.f6698
Identifiers
- DOI
- 10.1136/bmj.f6698