Multivariate Methods in Epidemiology
Seiten
2002
Oxford University Press Inc (Verlag)
978-0-19-512440-8 (ISBN)
Oxford University Press Inc (Verlag)
978-0-19-512440-8 (ISBN)
This text for graduate students in epidemiology and biostatistics describes the statistical tools that are currently used in the analysis of proportions and disease rates and on model fitting. Among the topics covered are Man-Haenszel methods, survival analysis, logistic regression, and generalized linear models.
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.
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.
PART I CONCEPT AND DEFINITIONS; PART II NON-REGRESSION METHODS; PART III REGRESSION METHODS; PART IV STUDY DESIGN AND NEW DIRECTIONS; 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
| Erscheint lt. Verlag | 25.7.2002 |
|---|---|
| Reihe/Serie | Monographs in Epidemiology and Biostatistics |
| Zusatzinfo | numerous tables and line figures |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 239 x 165 mm |
| Gewicht | 762 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| Studium ► Querschnittsbereiche ► Infektiologie / Immunologie | |
| Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika | |
| ISBN-10 | 0-19-512440-5 / 0195124405 |
| ISBN-13 | 978-0-19-512440-8 / 9780195124408 |
| Zustand | Neuware |
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