Results 21 to 30 of about 1,773,114 (300)

Application of statistical contrasts to mean refractive state

open access: yesAfrican Vision and Eye Health, 2006
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
doaj   +1 more source

Improving standards in brain-behaviour correlation analyses

open access: yesFrontiers in Human Neuroscience, 2012
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
doaj   +1 more source

Multiple Comparisons, Explained [PDF]

open access: yesAmerican Journal of Epidemiology, 1998
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.
openaire   +2 more sources

Multiple comparisons table for Cd.

open access: yes, 2022
Multiple comparisons table for Cd.
Raymond Limen Njinga (14053454)   +2 more
core   +1 more source

Multiple Comparisons Procedures [PDF]

open access: yesCirculation, 2008
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 ...
openaire   +2 more sources

Pair-wise comparisons of multiple models [PDF]

open access: yesJudgment and Decision Making, 2011
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
doaj   +3 more sources

Geometry‐derived statistical significance: A probabilistic framework for detecting true positive findings in MRI data

open access: yesBrain and Behavior, 2023
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
doaj   +1 more source

Comparison of the Predictive Values of Multiple Binary Diagnostic Tests in the Presence of Ignorable Missing Data

open access: yesRevstat Statistical Journal, 2017
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
doaj   +1 more source

The Problem of Too Many Statistical Tests: Subgroup Analyses in a Study Comparing the Effectiveness of Online and Live Lectures

open access: yesNumeracy, 2013
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
doaj   +1 more source

Analysis of variance, inference, multiple comparisons and sampling effects in soil research

open access: yes, 2007
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.
core   +1 more source

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