2016
DOI: 10.1093/humrep/dew192
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P -values and reproductive health: what can clinical researchers learn from the American Statistical Association?

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Cited by 41 publications
(26 citation statements)
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“…In the present study, we report on and make inferences based on a large number of statistical tests at the 0.05 significance level. As multiple comparisons increase the risk of type-1 error, and significant changes noted with such analyses might be attributed to chance or random variation, the inferences, particularly those that are on the borderline of statistical significance at the nominated 5% level, should be viewed with considerable caution (Farland et al, 2016;Walters, 2016). Limited sample size and lack of automated system for annotation are limitations of the current study.…”
Section: )mentioning
confidence: 90%
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“…In the present study, we report on and make inferences based on a large number of statistical tests at the 0.05 significance level. As multiple comparisons increase the risk of type-1 error, and significant changes noted with such analyses might be attributed to chance or random variation, the inferences, particularly those that are on the borderline of statistical significance at the nominated 5% level, should be viewed with considerable caution (Farland et al, 2016;Walters, 2016). Limited sample size and lack of automated system for annotation are limitations of the current study.…”
Section: )mentioning
confidence: 90%
“…As multiple testing increases the risk of type-1 error, significant changes noted at the 0.05 level might be attributed to chance or random variation, and one should be cautious about the inferences, particularly those that are on the borderline of statistical significance at the nominated 5% level (Farland et al, 2016;Walters, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Such studies as Jarrin et al (2015) and Galeev et al (2002) raise a question whether all statistically significant differences are clinically relevant? Whether, in fact, the small differences in the values of HRV measures are statistically different because of the mass effect, i.e., large sample sizes influencing p -value (Farland et al, 2016). Gasior et al (2015) recorded a resting ECG in 158 boys and 173 girls in age between 6 and 13 years old and selected 5-min segments for the time and spectral HRV analysis.…”
Section: Discussionmentioning
confidence: 99%
“…However, another simple way would be to present predicted probabilities obtained from a logistic regression model (rather than an odds ratio) and, if desired, use these predicted probabilities to estimate risk ratios [53]. Finally, while the utility of the p-value in biomedical research has been argued for many years [54, 55] a thorough discussion of their use in reproductive epidemiology has recently been described by Farland et al [56]. The pitfalls of relying on p-values remain a concern for ART studies.…”
Section: Discussionmentioning
confidence: 99%