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An introduction to ROC analysis
Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphsare commonly used in medical decision making, and in recent years hav... [Read More]
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Common pitfalls in statistical analysis: Logistic regression
AbstractLogistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dich... [Read More]
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APA Dictionary of Psychology
A trusted reference in the field of psychology, offering more than 25,000 clear and authoritative entries. pretest–posttest design a research design in which the same assessment ... [Read More]
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learn About PlumX Metrics - Plum Analytics
Plum Analytics - Tell the Story.PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many mo... [Read More]
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Python & R vs. SPSS & SAS | R-bloggers
When we’re working for clients we mostly come across the statistical programming languages SAS, SPSS, R and Python. Of these SAS and SPSS are probably the most used. However, the interest for the open... [Read More]
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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]