
Review of Short Phrases and Links 
This Review contains major "Statistical Significance" related terms, short phrases and links grouped together in the form of Encyclopedia article.
Definitions
 Statistical significance is commonly used in the medical field to test drugs and vaccines and to determine causal factors of disease.
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 Statistical significance: Used to denote an observed difference found beyond chance alone.
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 Statistical significance is a technical term.
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 Statistical significance: A measure the statistical likeliness that a given numerical value is true.
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 Statistical significance is a function of the sample size.
Statistical Significance
 Varianceaccountedforeffect sizes are presented as an alternative to statistical significance testing.
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 However, the propriety of juxtaposing statistical significance and the effect size may also be questioned for the following reasons.
 Formulation of the null hypothesis is a vital step in testing statistical significance.
 Specifically, it is necessary to assume that statements about statistical significance and the effect size are at the same level of abstraction.
 In truth, statistical significance testing reveals nothing about results replicability.
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 This aids in interpreting the results, as the confidence interval for a given  simultaneously indicates both statistical significance and effect size.
 The second reservation about critics' juxtaposing statistical significance and the effect size is a metatheoretical one.
 Alternatives to statistical significance testing that are explored are effect size, statistical power, and confidence intervals.
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 Effect size, confidence interval and statistical significance: a practical guide for biologists.
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 Schmidt, F. L. (1996). Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers.
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 Varianceaccountedforeffect sizes are presented as an alternative to statistical significance testing.
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 In truth, statistical significance testing reveals nothing about results replicability.
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 It is suggested that statistical significance testing be used only as a guide in interpreting one's results.
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 Precursors leading to the advent of statistical significance testing are examined as are more recent controversies surrounding the issue.
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 It has been stated that statistical significance was never intended to take the place of replication in research.
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 Lykken, D. (1968). Statistical significance in psychological research.
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 McLean, J. E., & Ernest, J. M. (1998). The role of statistical significance testing in educational research.
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 Five methodological errors in educational research: The pantheon of statistical significance and other faux pas.
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 Carver  "Statistical significance ordinarily depends upon how many subjects are used in the research.
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 Although Q is a good measure of the density of interactions in a cluster, its statistical significance strongly depends on cluster size, n.
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 Researchers should be encouraged to minimize statistical significance tests and to state expectations for quantitative results as critical effect sizes.
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 Alternatives to statistical significance testing that are explored are effect size, statistical power, and confidence intervals.
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 Statistical significance can be considered to be the confidence one has in a given result.
 The statistical significance of a result is an estimated measure of the degree to which it is "true" (in the sense of "representative of the population").
 Statistical significance represents the probability that a similar outcome would be obtained if we tested the entire population.
 It is important to remember that statistical significance is but one criterion useful to inferential researchers.
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 Statistical Significance When a statistic is significant, it simply means that you are very sure that the statistic is reliable.
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 An additional pitfall is that frequentist analyses of pvalues overstates statistical significance.[1][2] See Bayes factor for details.
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 Use a marker to note the Bs with statistical significance < .05.
 In short, statistical significance may simply be the fortuitous choice of the a level.
 Moreover, statistical significance says nothing about the reallife importance of the data.
 The statistical significance of the difference has little to do with the magnitude or biological significance of the difference.
 It is important to remember that statistical significance is but one criterion useful to inferential researchers.
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 I wonder if sampling on the fly using statistical significance is a widespread practice, without people realizing it.
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 Document Type: POSITION PAPER (120); CONFERENCE PAPER (150) Editorial practices revolving around tests of statistical significance are explored.
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 Keywords: pvalue; statistical significance; null hypothesis and research hypothesis; onetailed or twotailed tests of significance.
 The statistical significance controversy is definitely not over: A rejoinder to responses by Thompson, Knapp, and Levin.
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 According to J. Scott Armstrong, attempts to educate researchers on how to avoid pitfalls of using statistical significance have had little success.
 This review found that some contemporary authors continue to use and interpret statistical significance tests inappropriately.
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 Examples of both errors and desirable practices in the use and reporting of statistical significance tests in JXE are noted.
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 Document Type: POSITION PAPER (120); CONFERENCE PAPER (150) Editorial practices revolving around tests of statistical significance are explored.
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 Fisher's exact test is a statistical significance test used in the analysis of contingency tables where sample sizes are small.
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 The basic idea of statistical significance testing is discussed in Elementary Concepts.
 Statistical significance does not say anything about the substantive hypothesis.
 First, there are the ambiguityanomaly criticisms of NHSTP, the collective point of which is that statistical significance may be reached fortuitously.
 Consequently, statistical significance testing must be accompanied by judgments of the event's practical significance and replicability.
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 The real source of the ambiguity is obscured by the suggestion that statistical significance may be manipulated by cynical researchers.
 Statistical Significance: Statistical significance means the likelihood that the difference found between groups could have occurred by chance alone.
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 When the phrase "statistical significance" is used, it means the difference is not likely to be due to chance.
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 Statistical significance merely provides evidence that an event did not happen by chance.
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 Statistical Significance Inferential Statistics: Determines how likely a given result occurred by chance alone.
 KEY WORDS: chance, control, reliability, replication, statistical significance.
 We propose a randomizationbased method to control the falsepositive rate and estimate statistical significance of the FCM results.
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 We propose a randomizationbased method to control the false positive rate and estimate statistical significance of the FCM results.
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 CONCLUSIONS: Our results indicate the lack of compliance by authors and editors with accepted standards for the use of tests of statistical significance.
 Therefore a large value of P represents a small level of statistical significance and vice versa.
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 How the "level of statistical significance" is calculated.
 I can use these probabilities to indicate the level of statistical significance (the level of certainty) I have in my conclusions and decisions.
 A FINAL WARNING. Opting for sample size on the fly, then sky diving as soon as you get statistical significance, is forbidden.
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 Statistical significance testing is greatly influenced by sample size and often results in meaningless information being overreported.
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 It is uniformly agreed that statistical significance is not the only consideration in assessing the importance of research results.
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 Although it is tempting to equate statistical significance with clinical importance, critical readers should avoid this temptation.
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 As statistical significance is usually the desired outcome, planning and running a study to achieve a high power is of prime importance to the researcher.
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 Authors of trials should report not only statistical significance of results but also clinical importance.
 All of these results reached statistical significance, and they indicate the importance of strictly adhering to all doses of antiHIV therapy.
 This information is useful in determining the numbers of database sequences that achieved a particular level of statistical significance.
 Expect This setting specifies the statistical significance threshold for reporting matches against database sequences.
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 The z scores of statistical significance are superimposed over an anatomically standardized magnetic resonance image in a 3dimensional view.
 These are most useful for seeing general patterns, since the small sample size (9) means that a very high correlation is needed for statistical significance.
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 The 303 study is powered to show statistical significance for the superiority of naproxcinod over placebo at 13 weeks on the three coprimary endpoints.
 A statistical significance bar is an error bar that displays pairwise statistical significance between means using the visual overlap test.
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 Recently, a comparative study of pairwise statistical significance with database statistical significance was conducted.
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 On the other hand, results of high clinical relevance are not automatically unimportant if there is no statistical significance.
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 Statistical significance versus clinical relevance.
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 Island method for estimating the statistical significance of profileprofile alignment scores.
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 Scenarios were observed where all of the methods differed in estimate of effect and statistical significance.
 To understand the results of any survey, two calculations are necessary: the margin of error and the statistical significance of any differences found.
 The calculation of statistical significance (significance testing) is subject to a certain degree of error.
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 In spite of arguments to the contrary, psychologists, it is shown here, believe statistical significance (SS) signifies that a finding will replicate.
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 Sample size is an important component of statistical significance in that larger samples are less prone to flukes.
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 Response ratio was also better in the gabapentin group (0.199) than in the placebo group (0.044), a difference that also achieved statistical significance.
 The teenagers taking bupropion were two times more likely (close to statistical significance) to begin smoking than the teenagers in the placebo group.
 In the placebo group, only changes in abdominal pain scores at weeks 6 and 8 achieved statistical significance (P < 0.05).
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 The difference between the test substance and placebo groups (horizontal analysis) reached statistical significance in the 24th week.
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 In very basic terms, statistical power is the likelihood of achieving statistical significance.
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 The p value is the most commonly encountered way of reporting statistical significance.
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 Although these problems are widely recognized, publishers show a clear bias in favor of reports that claim statistical significance.
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 Sohn (1998) presents a good argument that neither statistical significance nor effect size is indicative of the replicability of research results.
 High statistical significance does not necessarily imply importance.
 Table 2. Interpretation of sample size as related to results of a statistical significance test.
 Statistical Significance Test A predecessor to the statistical hypothesis test.
 The NNP quantifies the economic significance of nonnormality to complement a statistical significance test of nonnormality, such as the JarqueBera test.
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 Statistical significance shows you the probability that the sample value is the population value, assuming null hypothesis of no relationship is true.
 In this paper, we extend the earlier work on pairwise statistical significance by incorporating with it the use of multiple parameter sets.
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 The mortality rate also is lower in the betablocker group; however, the difference does not achieve statistical significance.
 Although improvement in overall survival was noted, both studies did not demonstrate statistical significance.
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 Use of tests of statistical significance and other analytic choices in a school psychology journal: Review of practices and suggested alternatives.
 Recalculation of the odds ratio using the random effects model did not result in the loss of statistical significance for any of the main outcomes Table 2.
 A statistical test's power is the probability that the test procedure will result in statistical significance.
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 In this report, when IL6 and SAA values were adjusted for CRP, their expected differences among cases and controls fell short of statistical significance.
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 Improvements in the sixminute walk test, the primary endpoint of the study, approached, but did not reach, statistical significance.
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 In this study, the primary endpoint of hemolysis reduction was achieved with high statistical significance with Soliris treatment.
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 A study that claims clinical relevance may lack sufficient statistical significance to make a meaningful statement.
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 In addition, statistical significance can change by getting more observations, or by fitting the regression line better.
 In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests.
 A Wald test is used to test the statistical significance of each coefficient (b) in the model.
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 A decision to keep a variable in the model might be based on the clinical or statistical significance.
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 Rule induction: The extraction of useful ifthen rules from data based on statistical significance.
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 Performs simple statistical analyses of data and appropriate tests of statistical significance.
 Instead, permutationbased tests estimate statistical significance directly from the data being analysed.
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 The value of the estimator, given the value of the statistical significance depends on the standard error of the estimator and the power of the study.
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Categories
 Information > Evaluation > Analysis > Tests
 Glossaries > Glossary of Cluster Analysis /
 Significance
 Measure
Related Keywords
* Analysis
* Approach
* Assessing
* Central Limit Theorem
* Comparisons
* Conclusions
* Confidence Interval
* Confidence Intervals
* Correlation
* Correlations
* Difference
* Economic Significance
* Effect
* Effect Sizes
* Evaluating
* Function
* Lack
* Means
* Method
* Number
* Overestimate
* PValue
* PValues
* Patients
* Placebo
* Practical Importance
* Probability
* Reductions
* Researchers
* Sample
* Significance
* Significant
* Statistical Significance Tests
* Statistics
* TTest
* TTests
* Tests
* Treatment Group
* Value
* Values
* Variables
* Variance

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