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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New Haven, CT :
Yale University Press,
[2022]
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Frontmatter
- Contents
- Preface
- Part I Outline of Goals and Methods
- 1 Introduction
- 2 Goals of univariate and bivariate analysis
- 3 Goals of multivariable analysis
- 4 Taxonomy of multivariable methods
- Part II Preparing for Multivariable Analysis
- 5 Classification and coding decisions
- 6 Appraisal of simple displays
- 7 Simple linear regression: the algebraic prototype
- 8 Stratified rates: the cluster prototype
- 9 Bivariate evaluations of illustrative data set
- Part III Basic Strategies of Targeted Algebraic Methods
- 10 Complexity of additional independent variables
- 11 Multivariable explorations and reductions
- 12 Evaluations and illustrations of multiple linear regression
- Part IV Regression for Nondimensional Targets
- 13 Multiple logistic regression
- 14 Evaluations and illustrations of logistic regression
- 15 Proportional hazards analysis (Cox regression)
- 16 Evaluations and illustrations of Cox regression
- 17 Discriminant function analysis
- 18 Illustrations of discriminant function analysis
- Part V Targeted-Cluster Methods
- 19 Basic strategies of cluster operations
- 20 Multicategorical stratification
- 21 Recursive partitioning
- 22 Additional discussion and conclusions
- Master List of References
- Index