What is the prevalence of insomnia in a particular age group, in men and women, or in Caucasians and African Americans? What is the average total sleep time among normal sleepers among these groups? How does the sleep of Caucasians and African Americans differ? These are just some of the questions addressed in The Epidemiology of Sleep. This new book presents the most detailed and comprehensive archive of normal and abnormal sleep patterns. Based on a landmark study supported by the National Institute on Aging, 772 subjects from a host of populations including men, women, and various age and ethnic groups, prepared detailed sleep diaries for a two-week period. The use of these sleep diaries yielded a plethora of data on such characteristics as normal sleep patterns, various forms of insomnia, fatigue, depression, anxiety, and daytime sleepiness differentiated by age, sex, and ethnicity. The results generated by these data, charted in the book's numerous tables and graphs, provide a critical methodological advance in the sleep literature. The Epidemiology of Sleep opens with an overview of the rationale and unique characteristics of the study. This is followed by a comprehensive review of the existing epidemiological literature on sleep. Chapter three presents a detailed description of the methods used in the survey followed by meticulous information on the epidemiology of normal and insomnia sleep, that is unparalleled in the literature. Chapter six provides an archive of sleep patterns among African Americans. The book concludes with a discussion and interpretation of the most interesting findings. This insightful study, coupled with the comprehensive review of the existing literature on the epidemiology of sleep, make this volume an invaluable resource for sleep researchers, clinicians, health and clinical psychologists, gerontologists, epidemiologists, and advanced students.

What is the prevalence of insomnia in a particular age group, in men and women, or in Caucasians and African Americans? What is the average total sleep time among normal sleepers among these groups? How does the sleep of Caucasians and African Americans differ? These are just some of the questions addressed in "The Epidemiology of Sleep."
This new book presents the most detailed and comprehensive archive of normal and abnormal sleep patterns. Based on a landmark study supported by the National Institute on Aging, 772 subjects from a host of populations including men, women, and various age and ethnic groups, prepared detailed sleep diaries for a two-week period. The use of these sleep diaries yielded a plethora of data on such characteristics as normal sleep patterns, various forms of insomnia, fatigue, depression, anxiety, and daytime sleepiness differentiated by age, sex, and ethnicity. The results generated by these data, charted in the book's numerous tables and graphs, provide a critical methodological advance in the sleep literature.
"The Epidemiology of Sleep" opens with an overview of the rationale and unique characteristics of the study. This is followed by a comprehensive review of the existing epidemiological literature on sleep. Chapter three presents a detailed description of the methods used in the survey followed by meticulous information on the epidemiology of normal and insomnia sleep, that is unparalleled in the literature. Chapter six provides an archive of sleep patterns among African Americans. The book concludes with a discussion and interpretation of the most interesting findings.
This insightful study, coupled with the comprehensive review of the existing literature on the epidemiology of sleep, make this volume an invaluable resource for sleep researchers, clinicians, health and clinical psychologists, gerontologists, epidemiologists, and advanced students.

Causal Inferences in Capital Markets Research is an attempt to promote a broad interdisciplinary debate about the notion of causality and the role of causal inference in the social sciences. At the risk of oversimplifying, the issue of causality divides the accounting research community in two polar views: the view that causality is an unattainable ideal for the social sciences and must be given up as a standard, and the view that, on one hand, causality should be the ultimate goal of all scientific endeavors and, on the other hand, theory and causal inference are inextricable. Reflecting and discussing these views was the main motivation for this volume. This volume contains eight articles on three topics: I) Econometrics; III) Accounting, and III) Finance. First, Nancy Cartwright addresses the problem of external validity and the reliability of scientific claims that generalize individual cases. Then, John Rust discusses the role of assumptions in empirical research and the possibility of assumption-free inference. Peter Reiss considers the question how sensitive are instrumental variables to functional form transformations. Finally, Charles Manski studies the logical issues that affect the interpretation of point predictions. Second, Jeremy Bertomeu, Anne Beyer and Daniel Taylor provide a critical overview of empirical accounting research focusing on the benefits of theory-based estimation, while Qi Chen and Katherine Schipper consider the question whether all research should be causal and assess the existing gap between theory and empirical research in accounting. Third, R. Jay Kahn and Toni Whited clarifies and contrasts the notions of identification and causality, whereas Ivo Welch adopts a sociology of science approach to understand the consequences of the researchers' race for discovering novel and surprising results. This volume allows researchers and Ph.D students in accounting, and the social sciences in general, to acquire a deeper understanding of the notion of causality and the nature, limits, and scope of empirical research in the social sciences.