2016
DOI: 10.21037/jtd.2016.08.16
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P value interpretations and considerations

Abstract: Application and interpretation of statistical evaluation of relationships is a necessary element in biomedical research. Statistical analyses rely on P value to demonstrate relationships. The traditional level of significance, P<0.05, can be negatively impacted by small sample size, bias, and random error, and has evolved to include interpretation of statistical trends, correction factors for multiple analyses, and acceptance of statistical significance for P>0.05 for complex relationships such as effect modif… Show more

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Cited by 311 publications
(217 citation statements)
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References 12 publications
(12 reference statements)
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“…In addition, to examine whether the changes observed in the fracture resistance of the nanocomposite specimens are just due to the different contents of CNTs rather than other factors related to the uncertainties of the experiments, analysis of variance (ANOVA) is performed for the experimental data obtained for each loading mode. As it is seen in Figure 5 (b), all the P-values of the mentioned statistical analysis calculated for the three loading modes satisfy the P ≤ 0.05 condition, 50 which means that the CNTs weight percentage has affected the resulted fracture toughnesses.…”
Section: Fracture Tests Executionmentioning
confidence: 74%
“…In addition, to examine whether the changes observed in the fracture resistance of the nanocomposite specimens are just due to the different contents of CNTs rather than other factors related to the uncertainties of the experiments, analysis of variance (ANOVA) is performed for the experimental data obtained for each loading mode. As it is seen in Figure 5 (b), all the P-values of the mentioned statistical analysis calculated for the three loading modes satisfy the P ≤ 0.05 condition, 50 which means that the CNTs weight percentage has affected the resulted fracture toughnesses.…”
Section: Fracture Tests Executionmentioning
confidence: 74%
“…A priori, a p value of 0.15 was set to determine presence of effect modification. 38 We report ethnic-specific associations between SDB and outcomes from stratified models for ease of interpretation.…”
Section: Discussionmentioning
confidence: 99%
“…The SPSS 17.0 statistical package was used for data analysis. Following Thiese, Ronna, and Ott (), a P < .05 threshold was applied for simple effects whereas a P < .10 was used for complex relationships (i.e., mediation tests and multiple comparison adjustments).…”
Section: Methodsmentioning
confidence: 99%