Research Catalog

Quantitative methods in population health : extensions of ordinary regression

Title
Quantitative methods in population health : extensions of ordinary regression / Mari Palta.
Author
Palta, Mari, 1948-
Publication
Hoboken, N.J. : John Wiley, c2003.

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StatusFormatAccessCall NumberItem Location
TextUse in library RA409 .P34 2003Off-site

Details

Description
xxvi, 311 p. : ill.; 24 cm.
Summary
"The study of population health often involves the use of observational data from existing data sets, complex survey designs and longitudinal follow-up. Ordinary regression analysis, familiar to most researchers and practitioners is inadequate for analyzing such data and answering important questions about the relationship of risk factors to health. Nonstatisticians such as epidemiologists and health services researchers require a working knowledge of the sophisticated modeling techniques used by professional statisticians. Quantitative Methods in Population Health provides an accessible guide for students in an applied statistics sequence as well as for practicing researchers and professionals."--BOOK JACKET.
Series Statement
Wiley series in probability and statistics
Uniform Title
Wiley series in probability and statistics.
Subject
  • Medical statistics
  • Regression analysis
  • Population > Health aspects > Statistical methods
  • Health surveys > Statistical methods
  • Health Surveys
  • Regression Analysis
  • Population
  • Statistics as Topic
Bibliography (note)
  • Includes bibliographical references (p. 290-294) and index.
Contents
1. Review of Ordinary Linear Regression and Its Assumptions -- 2. The Maximum Likelihood Approach to Ordinary Regression -- 3. Reformulating Ordinary Regression Analysis in Matrix Notation -- 4. Variance Matrices and Linear Transformations -- 5. Variance Matrices of Estimators of Regression Coefficients -- 6. Dealing with Unequal Variance Around the Regression Line -- 7. Application of Weighting with Probability Sampling and Nonresponse -- 8. Principles in Dealing with Correlated Data -- 9. A Further Study of How the Transformation Works with Correlated Data -- 10. Random Effects -- 11. The Normal Distribution and Likelihood Revisited -- 12. The Generalization to Non-normal Distributions -- 13. Modeling Binomial and Binary Outcomes -- 14. Modeling Poisson Outcomes - The Analysis of Rates -- 15. Modeling Correlated Outcomes with Generalized Estimating Equations -- App. Matrix Operations.
ISBN
0471455059 (cloth)
LCCN
2003050087
OCLC
  • ocm52090825
  • SCSB-4819278
Owning Institutions
Columbia University Libraries