Quantitative methods in population health : [electronic resources] extensions of ordinary regression / Mari Palta.
- 作者： Palta,Mari 1948-
- 出版： Hoboken, N.J. : John Wiley 2003.
- 叢書名： Wiley series in probability and statistics
- 主題： Medical statistics , Regression analysis , Population--Health aspects , Health surveys--Statistical methods , MEDICAL--Health Risk Assessment , MEDICAL--Epidemiology , Electronic books , Biostatistics Regression analysis Public health
- ISBN： 0471467987 、 9780471467984 、 0471455059 (print ed.) 、 9780471455059 (print ed.) 、 0471467979 、 9780471467977 (ebk)
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- 一般註：Wiley online library (ebook collection) 附醫2009年購入-Wiley電子書 Includes bibliographical references (p. 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
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- 系統號： 000241176 | 機讀編目格式
館藏資訊
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 Explanations 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 First chapter includes a SAS refresher
摘要註
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
