Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010206352 | RA652.2.M3 R67 2008 | Open Access Book | Book | Searching... |
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Summary
Summary
The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with contributions from sixteen experts in a variety of epidemiologic sub-disciplines, this new edition is by far the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, including epidemiologic measures of occurrence and effect, study designs, validity, precision, statistical interference, and causal diagrams. Topics in data analysis range from Bayesian analysis, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines, hierarchical (multilevel) regression, propsensity scores and other scoring methods, and g-estimation. Special-topics chapters cover disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, clinical epidemiology, and meta-analysis.
Author Notes
Kenneth J. Rothman, Vice President, Epidemiology Research, RTI Health Solutions, Professor of Epidemiology and Medicine, Boston, Massachusetts
Sander Greenland Professor of Epidemiology and Statistics, University of California, Los Angeles, California
Timothy L. Lash Associate Professor of Epidemiology and Medicine, Boston University, Boston, Massachusetts
Table of Contents
Preface and Acknowledgments | p. vii |
Contributors | p. ix |
1 Introduction | p. 1 |
Section I Basic Concepts | |
2 Causation and Causal Inference | p. 5 |
3 Measures of Occurrence | p. 32 |
4 Measures of Effect and Measures of Association | p. 51 |
5 Concepts of Interaction | p. 71 |
Section II Study Design and Conduct | |
6 Types of Epidemiologic Studies | p. 87 |
7 Cohort Studies | p. 100 |
8 Case-Control Studies | p. 111 |
9 Validity in Epidemiologic Studies | p. 128 |
10 Precision and Statistics in Epidemiologic Studies | p. 148 |
11 Design Strategies to Improve Study Accuracy | p. 168 |
12 Causal Diagrams | p. 183 |
Section III Data Analysis | |
13 Fundamentals of Epidemiologic Data Analysis | p. 213 |
14 Introduction to Categorical Statistics | p. 238 |
15 Introduction to Stratified Analysis | p. 258 |
16 Applications of Stratified Analysis Methods | p. 283 |
17 Analysis of Polytomous Exposures and Outcomes | p. 303 |
18 Introduction to Bayesian Statistics | p. 328 |
19 Bias Analysis | p. 345 |
20 Introduction to Regression Models | p. 381 |
21 Introduction to Regression Modeling | p. 418 |
Section IV Special Topics | |
22 Surveillance | p. 459 |
23 Using Secondary Data | p. 481 |
24 Field Methods in Epidemiology | p. 492 |
25 Ecologic Studies | p. 511 |
26 Social Epidemiology | p. 532 |
27 Infectious Disease Epidemiology | p. 549 |
28 Genetic and Molecular Epidemiology | p. 564 |
29 Nutritional Epidemiology | p. 580 |
30 Environmental Epidemiology | p. 598 |
31 Methodologic Issues in Reproductive Epidemiology | p. 620 |
32 Clinical Epidemiology | p. 641 |
33 Meta-Analysis | p. 652 |
References | p. 683 |
Index | p. 733 |