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Zusatztext Psychiatric Epidemiologyis an excellent text which sets a new benchmark for epidemiological thinking in mental health research and goes a long way towards making the concepts of the discipline accessible to psychiatric researchers in general, as well as to cliniciana and students. Klappentext Searching for the causes of mental disorders is as exciting as it is complex. The relationship between pathophysiology and its overt manifestations is exceedingly intricate, and often the causes of a disorder are elusive at best. This book is an invaluable resource for anyone trying to track these causes, whether they be clinical researchers, public health practitioners, or psychiatric epidemiologists-in-training. Uniting theory and practice in very clear language, it makes a wonderful contribution to both epidemiologic and psychiatric research. Rather than attempting to review the descriptive epidemiology of mental disorders, this book gives a much more dynamic exposition of the thinking and techniques used to establish it. Starting out by tracing the brief history of psychiatric epidemiology, the book describes the study of risk factors as causes of mental disorders. Subsequent sections discuss approaches to investigation of biologic, genetic or social causes and the statistical analysis of study results. The book concludes by following some of the problems involved in the search for genetic causes of mental disorders, and more complex causal relationships. Zusammenfassung Tracing the brief history of psychiatric epidemiology, this book describes the study of risk factors as causes of mental disorders. It also discusses approaches to investigation of biologic, genetic, or social causes, and is useful for clinical researchers, public health practitioners, or psychiatric epidemiologists-in-training. Inhaltsverzeichnis Part I Psychiatric Epidemiology, Then and Now 1: The Burden of Mental Illness 2: The Arc of Epidemiology 3: Searching for the Causes of Mental Disorders Part II Risk Factors as Causes of Mental Disorders 4: What Is a Cause? 5: Detecting Causes 6: Study Designs 7: Relationships among Causes 8: Measures of Association Part III Cohort Designs in Psychiatric Epidemiology 9: Prototypical Cohort Study 10: Diversity of Cohort Studies 11: Causal Interference: A Thought Experiment 12: Confounding: What It Is and What Can Be Done 13: Unequal Attrition under Different Types of Follow-Up 14: Differential Misclassification Part IV Case-Control Designs in Psychiatric Epidemiology 15: Logic of the Case-Control Design 16: Applications of the Case-Control Study 17: Choosing Controls 18: Comparability and the Case-Control Study Part V Case-Control Designs in Biologic Psychiatry 19: Biologic Studies in Psychiatry 20: Choosing Cases in Biologic Psychiatry 21: Choosing Controls in Biologic Psychiatry Part VI Analyzing the Data 22: Gauging the Precision of Measures of Association 23: Using Significance Tests in Establishing Associations 24: Planning Studies: Estimating Power and Sample Size 25: Adjustment for Covariates 26: Event Time Analysis 27: Assessing Heterogeneity of Effects Part VII The Search for Genetic Causes of Mental Disorders 28: Integrating Epidemiology with Genetics 29: Genetic Association Studies 30: Modern Family History Studies 31: Twin Studies of Heritability 32: Genetic Linkage Studies 33: Designs for the Genomic Era Part VIII Complex Causal Relationships 34: Eco-Epidemiology 35: Causal Explanation within a Risk Factor Framework 36: Causal Explanation Outside the Black Box 37: Dependent and Dynamic Processes Appendix A. Our Approach to Epidemiologic Concepts and Methods Appendix B. Application of Survival Analysis to Prenatal Determinants of Schizophrenia Example (PDSE) Data
