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How to deal with non-binary categorical variables in logistic regression (SPSS) - Cross Validated
Logistic regression is a pretty flexible method. It can readily use as independent variables categorical variables. Most software that use Logistic regression should let you use categorical vari... [Read More]
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The Area Under an ROC Curve
The graph at right shows three ROC curves representing excellent, good, and worthless tests plotted on the same graph. The accuracy of the test depends on how well the test separates the group b... [Read More]
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Normalization and Standardization in 2 Minutes
Feature Scaling, Normalization, Standardization, Transformation, code in python, differences, when to use, simple feature scaling, min max, z score, log [Read More]
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Least absolute deviation estimation of linear econometric models: A literature review
he Least Squares method of estimationof parameters of linear (regression) models performs well provided that the residuals (disturbances or errors) are well behaved (preferably normally or ne... [Read More]
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Cohen's d - Wikiversity
Cohen's d is an effect size used to indicate the standardised difference between two means. It can be used, for example, to accompany reporting of t-test and ANOVA&n... [Read More]
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Can the Median and mean be "zero"? - Cross Validated
If you have a random variable following a standard normal distribution, then we would expect its mean to be 0 so this is perfectly possible.... [Read More]
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“Data Not Shown” - 4 Reasons to Omit a Figure or Table |AJE
The phrase “data not shown” peppers scientific manuscripts, referring to findings that are relevant enough to be mentioned but not to be depicted in a figure... [Read More]
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Calculating statistical power using G*Power (a priori & post hoc) - YouTube
This video explains how to calculate a priori and post hoc power calculations for correlations and t-tests using G*Power. G*Power download: http://www.gpower... [Read More]
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Multiple comparisons - Handbook of Biological Statistics
When you perform a large number of statistical tests, some will have P values less than 0.05 purely by chance, even if all your null hypotheses are really true. The Bonferroni correction is ... [Read More]
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Linear Regression
    Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variab... [Read More]