Results 11 to 20 of about 27,685,557 (280)
Data interpretation and statistical significance
Indian Journal of Dental Research, 2019 S M Balaji
doaj +3 more sources
Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments [PDF]
, 2004 BACKGROUND: The biological interpretation of even a simple microarray experiment can be a challenging and highly complex task. Here we present a new method (Iterative Group Analysis) to facilitate, improve, and accelerate this process.
Amtmann, A., Herzyk, P., Breitling, R.
core +9 more sources
On the statistical mechanical interpretation of entropy: a revision [PDF]
, 2022 The statistical interpretation of entropy has simultaneously been one of the most influential and one of the most controversial findings in the history of science.
Amin, Alibakhshi
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Equivalent statistics and data interpretation [PDF]
Behavior Research Methods, 2016 Recent reform efforts in psychological science have led to a plethora of choices for scientists to analyze their data. A scientist making an inference about their data must now decide whether to report a p value, summarize the data with a standardized effect size and its confidence interval, report a Bayes Factor, or use other model comparison methods.
openaire +2 more sources
Statistical disclosure control for survey data [PDF]
, 2009 Statistical disclosure control refers to the methodology used in the design of the statistical outputs from a survey for protecting the confidentiality of respondents’ answers. The threat to confidentiality is assumed to come from a hypothetical intruder
Chris Skinner, Skinner, Chris
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The application of cluster analysis in geophysical data interpretation [PDF]
, 2010 A clustering algorithm which is based on density and adaptive density-reachable is developed and presented for arbitrary data point distributions in some real world applications, especially in geophysical data interpretation.
Meng, Hai-Dong +5 more
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Nonparametric statistical tests for the continuous data: the basic concept and the practical use [PDF]
Korean Journal of Anesthesiology, 2016 Conventional statistical tests are usually called parametric tests. Parametric tests are used more frequently than nonparametric tests in many medical articles, because most of the medical researchers are familiar with and the statistical software ...
Francis Sahngun Nahm
doaj +1 more source
Common pitfalls in statistical analysis: The perils of multiple testing
Perspectives in Clinical Research, 2016 Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding.
Priya Ranganathan +2 more
doaj +1 more source
A guide to modern statistical analysis of immunological data. [PDF]
, 2007 BACKGROUND: The number of subjects that can be recruited in immunological studies and the number of immunological parameters that can be measured has increased rapidly over the past decade and is likely to continue to expand.
Barreto, Mauricio L +14 more
core +1 more source
, 2022 This dataset contains the statistical data retrieved from a large-scale questionnaire survey conducted in eight countries from speakers of thirteen Finno-Ugric minority languages, representing three branches of the language family: Finnic (Finnish ...
ELDIA Statistical Team
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