This is an extremely ambitious text that considerably extends the scope of material covered by other epidemiological texts. The goal of the authors is to provide a focus on both design and analytical issues in epidemiology. The text is directed at a postgraduate student level, but there is much that is pertinent to undergraduates and ample for to those interested in epidemiology, study design and data analysis. There are 28 Chapters which include an Introduction and Causal Concepts, Sampling, Questionaire Design, Measures of Disease Frequency, Screening and Diagnostic Tests and Measures of Association. Chapters on study design include an Introduction to Observational Studies, Cohort Studies, Case-Control Studies, Hybrid Study Designs, Controlled Trials and Validity in Observational Studies. The analytical chapters are extensive and cover Confounding Bias, Analytic Control and Matching, Linear Regression, Logistic Regression, and Modelling Multinomial Data, Count and Rate Data and Survival Data. There are chapters on clustered data and the methods for modelling these, including mixed models and Bayesian analysis. There are chapters on Meta-analysis, and approaches to model building and data analysis. While other texts provide more depth on all these topics, relevant texts are referenced. Strengths of this book are the examples provided and the appropriateness and currency of the references to which readers are directed. Many of the case examples and data sets are derived from recent published papers or obtained from the authors of the papers.
Author(s): Ian Dohoo, Wayne Martin, Henrik Stryhn
Publisher: AVC Inc.
Year: 2003
Language: English
Pages: 727
COVER......Page 1
DEDICATION......Page 5
CONTENTS......Page 7
FOREWORD......Page 15
PREFACE......Page 16
REFERENCE LIST......Page 18
ACKNOWLEDGEMENTS......Page 19
CHAPTER 1 INTRODUCTION AND CAUSAL CONCEPTS......Page 21
CHAPTER 2 SAMPLING......Page 47
CHAPTER 3 QUESTIONNAIRE DESIGN......Page 73
CHAPTER 4 MEASURES OF DISEASE FREQUENCY......Page 85
CHAPTER 5 SCREENING AND DIAGNOSTIC TESTS......Page 105
CHAPTER 6 MEASURES OF ASSOCIATION......Page 141
CHAPTER 7 INTRODUCTION TO OBSERVATIONAL STUDIES......Page 159
CHAPTER 8 COHORT STUDIES......Page 171
CHAPTER 9 CASE-CONTROL STUDIES......Page 183
CHAPTER 10 HYBRID STUDY DESIGNS......Page 197
CHAPTER 11 CONTROLLED TRIALS......Page 205
CHAPTER 12 VALIDITY IN OBSERVATIONAL STUDIES......Page 227
CHAPTER 13 CONFOUNDER BlAS: ANALYTIC CONTROL AND MATCHING......Page 255
CHAPTER 14 LINEAR REGRESSION......Page 293
CHAPTER 15 MODEL-BUILDING STRATEGIES......Page 337
CHAPTER 16 LOGISTIC REGRESSION......Page 355
CHAPTER 17 MODELLING MULTINOMlAL DATA......Page 393
CHAPTER 18 MODELLING COUNT AND RATE DATA......Page 411
CHAPTER 19 MODELLING SURVIVAL DATA......Page 429
CHAPTER 20 INTRODUCTION TO CLUSTERED DATA......Page 479
CHAPTER 21 MIXED MODEL S FOR CONTINUOUS DATA......Page 493
CHAPTER 22 MIXED MODEL S FOR DISCRETE DATA......Page 519
CHAPTER 23 ALTERNATIVE APPROACHES TODEALING WITH CLUSTERED DATA......Page 541
CHAPTER 24 META-ANALYSIS......Page 563
CHAPTER 25 ECOLOGIC AND GROUP-LEVEL STUDIES......Page 581
CHAPTER 26 A STRUCTURED APPROACHTO DATA ANALYSIS......Page 601
CHAPTER 27 DESCRIPTION OF DATASETS......Page 611
CHAPTER 28 PROGRAM FILES......Page 651
GLOSSARY AND TERMINOLOGY......Page 691
COMBINED REFERENCE LIST......Page 703
INDEX......Page 715
BACK COVER......Page 727
