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Multivariable Analysis : An Introduction /

For physicians, nurses, and all others who confront increasingly complex statistical methods in research, Dr. Alvan R. Feinstein offers welcome help. He has written a highly readable explanation of the uses and significance of multivariable analysis in medical and life science research. A physician...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Feinstein, Alvan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New Haven, CT : Yale University Press, [2022]
Temas:
Acceso en línea:Texto completo
Texto completo

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264 4 |c ©1996 
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505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t Part I Outline of Goals and Methods --   |t 1 Introduction --   |t 2 Goals of univariate and bivariate analysis --   |t 3 Goals of multivariable analysis --   |t 4 Taxonomy of multivariable methods --   |t Part II Preparing for Multivariable Analysis --   |t 5 Classification and coding decisions --   |t 6 Appraisal of simple displays --   |t 7 Simple linear regression: the algebraic prototype --   |t 8 Stratified rates: the cluster prototype --   |t 9 Bivariate evaluations of illustrative data set --   |t Part III Basic Strategies of Targeted Algebraic Methods --   |t 10 Complexity of additional independent variables --   |t 11 Multivariable explorations and reductions --   |t 12 Evaluations and illustrations of multiple linear regression --   |t Part IV Regression for Nondimensional Targets --   |t 13 Multiple logistic regression --   |t 14 Evaluations and illustrations of logistic regression --   |t 15 Proportional hazards analysis (Cox regression) --   |t 16 Evaluations and illustrations of Cox regression --   |t 17 Discriminant function analysis --   |t 18 Illustrations of discriminant function analysis --   |t Part V Targeted-Cluster Methods --   |t 19 Basic strategies of cluster operations --   |t 20 Multicategorical stratification --   |t 21 Recursive partitioning --   |t 22 Additional discussion and conclusions --   |t Master List of References --   |t Index 
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520 |a For physicians, nurses, and all others who confront increasingly complex statistical methods in research, Dr. Alvan R. Feinstein offers welcome help. He has written a highly readable explanation of the uses and significance of multivariable analysis in medical and life science research. A physician with wide experience in both clinical work and research, Dr. Feinstein succeeds in demystifying arcane vocabulary and unfamiliar mathematics. His book is a roadmap taking the reader from the basics of univariate and bivariate statistics, through methods of converting information into data coded for computers, and on to multivariable statistics. Dr. Feinstein focuses on four methods common in the medical literature: multiple linear regression, multiple logistic regression, discriminant function analysis, and Cox regression. He also discusses such new methods as recursive partitioning and conjunctive consolidation. Clarifying examples and illustrations abound, and an accompanying floppy disk helps to facilitate learning. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Jun 2022) 
650 0 |a Multivariate analysis. 
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