Applied Logistic Regression Analysis is popular PDF and ePub book, written by Scott Menard in 2002, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Applied Logistic Regression Analysis can be Read Online from any device for your convenience.
Applied Logistic Regression Analysis Book PDF Summary
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.
Detail Book of Applied Logistic Regression Analysis PDF
- Author : Scott Menard
- Release : 20 September 2024
- Publisher : SAGE
- ISBN : 0761922083
- Genre : Mathematics
- Total Page : 130 pages
- Language : English
- PDF File Size : 13,6 Mb
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