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The results given are a residuals analysis, parameters of the models, the model equation, the standardized coefficients, Type I SS, Type III SS, and predictions are displayed. In addition several multiple comparison methods can optionally be performed: Bonferroni's and Dunn-Sidak corrected t test, Tukey's HSD test, Fisher's LSD test, Duncan's test, Newman-Keuls' (SNK) method and the REGWQ … ...read more

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Ordinary Least Squares regression provides linear models of continuous variables. However, much data of interest to statisticians and researchers are not continuous and so other methods must be used to create useful predictive models. The glm() command is designed to perform generalized linear models (regressions) on binary outcome data, count data, probability data, proportion data and many ...read more

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### Frama-C - Framework for Modular Analysis of C programs

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When invoked with the command-line: frama-c -eva -eva-precision 1 first.c. Frama-C creates an analysis project for the file first.c. The -eva option on the command-line causes the Eva plug-in to run and have its results ready before the interface appears.. The -eva-precision option is one of several options that influence the precision of the Eva plug-in. ...read more

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29-10-2019 · When designing a study to develop a new prediction model with binary or time‐to‐event outcomes, researchers should ensure their sample size is adequate in terms of the number of participants (n) and outcome events (E) relative to the number of predictor parameters (p) considered for inclusion.We propose that the minimum values of n and E (and subsequently the minimum number of … ...read more

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