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Fisher's z Fisher's z

The Palace of Probabilities

With small sample size, the variance of the Pearson’s coefficient increases, decreasing the precision of its estimates. The use of Fisher's z helps to stabilize the variance and obtain more precise estimates in meta-analyses whose outcome measure is a correlation, and when the sample of primary studies is small.
Fisher's z Fisher's z

An epic dance

Multiple regression regularization (shrinkage) techniques can be very useful to address collinearity or overfitting problems. In addition, they can be used to select the independent variables and reduce multidimensionality, achieving more robust and easy-to-interpret models. Ridge, lasso and elastic network regression techniques are described.
Fisher's z Fisher's z

The paradox of the air

The parameters that report on the quality of a multiple logistic regression model and that are usually provided by the statistical programs with which they are carried out are reviewed. Emphasis is placed on the goodness of fit, the predictive capacity and the statistical significance of the model.
Fisher's z Fisher's z

Science behind the magic

A neural network consists of a series of layers of processing units, called neurons, that perform transformations on input data to generate output data. The fundamentals of the internal functioning of an artificial neural network are described.
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