Rövid leírás:
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.
Több
Hosszú leírás:
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 presentation style is excellent, and the book is full of thought provoking ideas.
Több
Tartalomjegyzék:
Part I Concept and Definitions
Associations Between Exposure and Disease
Models for Disease
Part II Non-regression Methods
Analysis of Proportions
Analysis of Rates
Analysis of Time to Failure
Part III Regression Methods
Regression Models for Proprtions
Defining Regressor Variables
Parametric Models for Hazard Functions
Proportional Hazards Regression
Part IV Study Design and New Directions
Analysis of Matched Studies
Power and Sample Size Requirements
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
