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  • practically significant vs statistically si

    • Bioavailability of Silicon from Three Sources

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      This increase was statistically significant (p < 0.0001). Discussion Results from this study indi-cate that, with respect to bioavai-lability, calcium silicate is a supe-rior source of nutritional silicon. Supplementation with 20 mg of silicon as silicon amino acid complex or powdered horsetail grass gave only small (2.4–2.5 mg)

    • Channelling Fisher: Randomization Tests and the ...

      paper in a manner that is, practically speaking, infeasible in conventional econometrics. I find that randomization F/Wald tests at the equation level reduce the number of regression specifications with statistically significant treatment effects by 30 to 40 percent, while the

    • Comparing performance of biometric ... .si

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      vs. males and females 8/13. Results (70/30 NN) 9/13. Results (Female NN) 10/13. Results (Male NN) 11/13. Conclusion Bias exists, but is practically insignificant (<1%) ... the areas of non-intersection seem large enough to be statistically significant, meaning bias must come from somewhere (perhaps just variance introduced in our methodological ...

    • How to Identify Critical Quality Attributes and Critical ...

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      How to Identify Critical Quality Attributes and Critical Process Parameters Jennifer Maguire, Ph.D. Daniel Peng, Ph.D. Office of Process and Facility (OPF) OPQ/CDER/FDA . 1 FDA/PQRI 2nd Conference. North Bethesda, Maryland . October 6, 2015 . Opinions expressed in this presentation are those of …

    • P Values, Statistical Significance & Clinical Significance

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      The results of a study can be statistically significant but still be too small to be of any practical value. This is of great importance to physicians when looking at research evidence. Various quantitative measures are used to decide whether a treatment effect is large enough to make a

    • Scale-down Model Qualification anddown Model Qualification ...

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      – In case of a statistically significant difference, may still conclude equivalent if difference isequivalent if difference is “not practically significantnot practically significant” • Equivalence testing: – Rewards greater data replication – Si il t Bi i l l l tiSimilar to Bioequivalence calculations

    • Statistical versus Practical Significance

      to be statistically significant may not have much practical significance. Almost any null hypothesis can be rejected if the sample size is large enough. This has implications on practical significance, as statistically significant results may be practically applied despite having an extremely small effect size.


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      ANCOVA (SI by gender with prior GPA) indicated that prior GPA was a useful covariate. The effect of SI participation after prior GPA and gender were controlled for was statistically significant (p < .0005) and practically significant (d=.48; or a 2-letter grade improvement). The adjusted mean letter grade for the SI participants was a “B-”


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      USE OF RULE 132 DECLARATIONS IN TRAVERSING REJECTIONS FOLLOWING THE KSR DECISION . Abraham J. Rosner . Sughrue Mion, PLLC ... amount of Si in preventing electromigration may be sufficient to ... unobvious and statistically and practically significant. There must be a basis for judging the significance of the data.

    • Using X-Ray Fluorescence to Quantify Clay Content in ...

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      -Ray Fluorescence to Quantify Clay Content in Mudrock and Sandstone Outcrops* Alton A . Brown. 1. ... get statistically significant count rates. This is judged by duplicating the analysis at each spot and comparing ... no significant Al or Si concentration differences up to an offset of 1 mm between a mudrock reference sample and