What question did this study set out to answer?

To evaluate the incidence and magnitude of type 1 experimental error rates arising from multiple statistical testing in epidemiologic and public health literature.

April 1, 1998American Journal of EpidemiologyOpen Access

Quantitative Evaluation of Multiplicity in Epidemiology and Public Health Research

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Authors

KOKenneth J. OttenbacherThe University of Texas Medical Branch at Galveston

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Implication

Methodological review reveals type 1 error rates substantially exceed five percent in epidemiologic literature, highlighting the need for multiple testing corrections.

Key Points

To evaluate the incidence and magnitude of type 1 experimental error rates arising from multiple statistical testing in epidemiologic and public health literature.
Randomly sampled N=173 articles published in 1996 from the American Journal of Public Health and the American Journal of Epidemiology.
Quantified type 1 error rates across studies using three metrics: experiment-wise error rate, error rate per experiment, and percent error rate.
Estimated type 1 error rates across sampled studies were substantially higher than the traditionally assumed 5% threshold (p < 0.05).
No practical or statistically significant difference in type 1 error rates was observed between the two evaluated journals.

Cite This Study

Kenneth J. Ottenbacher (1998) studied this question.

synapsesocial.com/papers/6a1c079abc71fb1015a92f69 https://doi.org/10.1093/oxfordjournals.aje.a009501

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Implication

Methodological review reveals type 1 error rates substantially exceed five percent in epidemiologic literature, highlighting the need for multiple testing corrections.

Quantitative Evaluation of Multiplicity in Epidemiology and Public Health Research

Discussion

Member takes

Implication

Key Points

Cite This Study

Quantitative Evaluation of Multiplicity in Epidemiology and Public Health Research

Discussion

Member takes

Implication

Key Points

Cite This Study

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