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Quantitative methods in population health : extensions of ordinary regression by Palta, Mari, 1948- instant download

  • SKU: EBN-238667042
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Instant download (eBook) Quantitative methods in population health : extensions of ordinary regression after payment.
Authors:Palta, Mari, 1948-
Pages:updating ...
Year:2003
Publisher:Hoboken, N.J. : John Wiley
Language:english
File Size:14.47 MB
Format:pdf
Categories: Ebooks

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Quantitative methods in population health : extensions of ordinary regression by Palta, Mari, 1948- instant download

1 online resource (xxvi, 311 pages) :, 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 asoftware. Explanationsons are designed to assume as little background in mathematics and statistical theory as possible, except that some knowledge of calculus is necessary for certain parts. SAS commands are provided for applying the methods. (PROC REG, PROC MIXED, and PROC GENMOD)All sections contain real life examples, mostly from epidemiologic research, Includes bibliographical references (pages 290-294) and index, Review of Ordinary Linear Regression and Its Assumptions -- The Maximum Likelihood Approach to Ordinary Regression -- Reformulating Ordinary Regression Analysis in Matrix Notation -- Variance Matrices and Linear Transformations -- Variance Matrices of Estimators of Regression Coefficients -- Dealing with Unequal Variance Around the Regression Line -- Application of Weighting with Probability Sampling and Nonresponse -- Principles in Dealing with Correlated Data -- A Further Study of How the Transformation Works with Correlated Data -- Random Effects -- The Normal Distribution and Likelihood Revisited -- The Generalization to Non-normal Distributions -- Modeling Binomial and Binary Outcomes -- Modeling Poisson Outcomes: The Analysis of Rates -- Modeling Correlated Outcomes with Generalized Estimating Equations -- Appendix: Matrix Operations, Print version record
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