Buch, Englisch, 440 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 804 g
Buch, Englisch, 440 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 804 g
ISBN: 978-0-19-512440-8
Verlag: Oxford University Press
The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyse the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analysing proportions and disease rates. These are then extended to model fitting, and the common threads of logic that bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allows the reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalised linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This text will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data.
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Infektionskrankheiten
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
Weitere Infos & Material
- Part I Concept and Definitions
- 1: Associations Between Exposure and Disease
- 2: Models for Disease
- Part II Non-regression Methods
- 3: Analysis of Proportions
- 4: Analysis of Rates
- 5: Analysis of Time to Failure
- Part III Regression Methods
- 6: Regression Models for Proprtions
- 7: Defining Regressor Variables
- 8: Parametric Models for Hazard Functions
- 9: Proportional Hazards Regression
- Part IV Study Design and New Directions
- 10: Analysis of Matched Studies
- 11: Power and Sample Size Requirements
- 12: Extending Regression Models
- Appendix 1 Theory on Models for Disease
- Appendix 2 Theory on the Analysis of Proportions
- Appendix 3 Theory of Analysis Rates
- Appendix 4 Theory on Analysis of Time to Failure
- Appendix 5 Theory on Regression Models for Proportions
- Appendix 6 Theory on Parametric Models for Hazard Function
- Appendix 7 Theory on Analysis of Matched Studies
