Practical Statistical Methods: A SAS Programming Approach

Practical Statistical Methods: A SAS Programming Approach
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Practical Statistical Techniques: A SAS Programming Approach Description

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Practice of statistical strategies: an approach to programming SAS has a wide range of statistical strategies beneficial to researchers without having extensive statistical encounter. In addition to the nonparametric techniques, covering methods for discrete and continuous information. Omitting details and complex mathematical formulas, containing the text SAS to perform the required analysis and draw proper conclusions for the current troubles of statistics. Following introducing the standard statistical concepts, the author describes the strategies utilized for quantitative data and continuous distributions are normal and not normal. It then focuses on the regression approach, to highlight the easy linear regression, logistic regression and proportional hazards model. The last chapter briefly discusses topics as varied as the propensity score, misclassification, interim analysis, conditional power, bootstrap and jackknife. SAS code and output devices integrated in this b Practical Statistical Methods: A SAS Programming Approach

\n\nPractical Statistical Approaches: A SAS Programming Approach Ebook

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