2010
DOI: 10.1186/1471-2288-10-44
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The null hypothesis significance test in health sciences research (1995-2006): statistical analysis and interpretation

Abstract: BackgroundThe null hypothesis significance test (NHST) is the most frequently used statistical method, although its inferential validity has been widely criticized since its introduction. In 1988, the International Committee of Medical Journal Editors (ICMJE) warned against sole reliance on NHST to substantiate study conclusions and suggested supplementary use of confidence intervals (CI). Our objective was to evaluate the extent and quality in the use of NHST and CI, both in English and Spanish language biome… Show more

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Cited by 62 publications
(31 citation statements)
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“…This general approach has been criticized as unreliable, wasteful of information, harmful to scientific progress, and contrary to the original statistical theories that supposedly support it (23-28), but it remains engrained in research culture (29, 30). As in the case of sample size, existing conventions are especially inappropriate for early, highly innovative studies, where the potential for unexpected findings is high and where interpretation should focus on estimated effects and the uncertainty around them (as shown by confidence intervals) and whether the ensemble of results have a coherent and plausible biological explanation.…”
Section: Analysis Interpretation and Publication Of Early Studiesmentioning
confidence: 99%
“…This general approach has been criticized as unreliable, wasteful of information, harmful to scientific progress, and contrary to the original statistical theories that supposedly support it (23-28), but it remains engrained in research culture (29, 30). As in the case of sample size, existing conventions are especially inappropriate for early, highly innovative studies, where the potential for unexpected findings is high and where interpretation should focus on estimated effects and the uncertainty around them (as shown by confidence intervals) and whether the ensemble of results have a coherent and plausible biological explanation.…”
Section: Analysis Interpretation and Publication Of Early Studiesmentioning
confidence: 99%
“…If we were to have more individuals, then our system will deduce with more certainty if a model fits. [5] Example 2 (Y-Linked, Chance of Autosomal):…”
Section: Resultsmentioning
confidence: 99%
“…Therefore the proposed model is accurate with respect to our data. Assume p = 0.05 [5] for us to be able to reject the null hypothesis.…”
mentioning
confidence: 99%
“…If we were to have more individuals, then our system will deduce with more certainty if a model fits. [5] Example 2 (Y-Linked, Chance of Autosomal Dominant):…”
Section: Reading the Figuresmentioning
confidence: 99%
“…If we were to have more individuals, then our system will deduce with more certainty if a model fits. [5] Now, I will use a simpler example to prove that this method is accurate. Assume we know nothing but the phenotypes.…”
Section: Reading the Figuresmentioning
confidence: 99%