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Application of statistical contrasts to mean refractive state
Testing for differences between specific groups or combinations of groups is referred to as comparison or contrast testing. Statistical significance of comparisons can be assessed by first forming contrasts and then testing for their ...
S Abelman
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Improving standards in brain-behaviour correlation analyses
Associations between two variables, for instance between brain and behavioural measurements, are often studied using Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones.
Guillaume A Rousselet, Cyril R Pernet
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Multiple Comparisons, Explained [PDF]
The commentary by Savitz and Olshan (1) and the response by Thompson (2) form a fascinating contrast. Savitz and Olshan speak in the language of epidemiology, complaining about the seeming arbitrary and antiscientific dictates of conventional (frequentist) statistical methodology, particularly as it applies to the study of many associations.
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Multiple comparisons table for Cd.
Multiple comparisons table for Cd.
Raymond Limen Njinga (14053454) +2 more
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Multiple Comparisons Procedures [PDF]
In biomedical research, a common question posed by investigators is whether or not an outcome of interest differs significantly between multiple independent groups of subjects in the study sample. For example, in a randomized clinical trial focusing on differences in a parameter of cardiovascular health such as systolic blood pressure or heart rate ...
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Pair-wise comparisons of multiple models [PDF]
Often research in judgment and decision making requires comparison of multiple competing models. Researchers invoke global measures such as the rate of correct predictions or the sum of squared (or absolute) deviations of the various models as part of ...
Stephen B. Broomell +2 more
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Introduction The false discovery rate (FDR) procedure does not incorporate the geometry of the random field and requires high statistical power at each voxel, a requirement not satisfied by the limited number of participants in imaging studies ...
Ravi Bansal, Bradley S. Peterson
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The comparison of the predictive values of binary diagnostic tests is an important topic in the study of statistical methods applied to medical diagnosis. In this article, we study a global hypothesis test to simultaneously compare the predictive values
Ana Eugenia Marín-Jimenéz +1 more
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The more statistical analyses performed in the analysis of research data, the more likely it is that one or more of the conclusions will be in error. Multiple statistical analyses can occur when the sample contains several subgroups and the researchers ...
David M. Lane
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Analysis of variance, inference, multiple comparisons and sampling effects in soil research
The analysis of variance is a crucial step in extracting information from efficiently designed experiments and surveys in soil science. It is only the beginning, however.
Webster, R.
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