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Quantitative Methods in Population Health: Extensions of Ordinary Regression |
| Wiley Series in Probability and Statistics |
| Mari Palta (University of Wisconsin-Madison, Madison, WI ) |
| This text is meant for the third semester of an applied statistics sequence for statistics nonmajors such as epidemiologists and health services researchers. It is also appropriate for researchers in these areas who wish to truly understand and apply regression analysis with weights, unequal variance, correlated and longitudinal outcomes, mixed effects, generalized linear models and generalized estimating equations. It is assumed that the reader is familiar with applied ordinary and logistic regression analysis and has at least rudimentary knowledge of the SAS package. Â Each topic starts with an explanation of the theoretical background necessary to allow full understanding of the technique and to facilitate future learning of more advanced or new methods and software. In the process the reader is exposed to some of the underpinnings of statistics that are often omitted from applied texts and courses. A couple of connections between the main methods covered here and others, which are usually seen only in psychometric courses are pointed out. Notably, the linear algebra is the same for the transformations justifying weighted regression analysis and principal component analysis. The concept of latent variables is briefly introduced as motivating the choice of link function for binary data.Â
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| Cloth Bound |
Pages, 6-1/8 x 9-1/4 in.
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Item #:
Price: |
0471455059
$115.00 |
John Wiley & Sons, Inc. | |
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