This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health.

It is widely acknowledged that the hit franchise Game of Thrones is based on the Wars of the Roses, a bloody fifteenth-century civil war between feuding English families. In this book, Jeffrey R. Wilson shows how that connection was mediated by Shakespeare, and how a knowledge of the Shakespearean context enriches our understanding of the literary elements of Game of Thrones. On the one hand, Shakespeare influenced Game of Thrones indirectly because his history plays significantly shaped the way the Wars of the Roses are now remembered, including the modern histories and historical fictions George R.R. Martin drew upon. On the other, Game of Thrones also responds to Shakespeare’s first tetralogy directly by adapting several of its literary strategies (such as shifting perspectives, mixed genres, and metatheater) and tropes (including the stigmatized protagonist and the prince who was promised). Presenting new interviews with the Game of Thrones cast, and comparing contextual circumstances of composition—such as collaborative authorship and political currents—this book also lodges a series of provocations about writing and acting for the stage in the Elizabethan age and for the screen in the twenty-first century. An essential read for fans of the franchise, as well as students and academics looking at Shakespeare and Renaissance literature in the context of modern media.

It is widely acknowledged that the hit franchise Game of Thrones is based on the Wars of the Roses, a bloody fifteenth-century civil war between feuding English families. In this book, Jeffrey R. Wilson shows how that connection was mediated by Shakespeare, and how a knowledge of the Shakespearean context enriches our understanding of the literary elements of Game of Thrones. On the one hand, Shakespeare influenced Game of Thrones indirectly because his history plays significantly shaped the way the Wars of the Roses are now remembered, including the modern histories and historical fictions George R.R. Martin drew upon. On the other, Game of Thrones also responds to Shakespeare's first tetralogy directly by adapting several of its literary strategies (such as shifting perspectives, mixed genres, and metatheater) and tropes (including the stigmatized protagonist and the prince who was promised). Presenting new interviews with the Game of Thrones cast, and comparing contextual circumstances of composition-such as collaborative authorship and political currents-this book also lodges a series of provocations about writing and acting for the stage in the Elizabethan age and for the screen in the twenty-first century. An essential read for fans of the franchise, as well as students and academics looking at Shakespeare and Renaissance literature in the context of modern media.

Richard III will always be central to English disability history as both man and myth-a disabled medieval king made into a monster by his nation's most important artist. In Richard III's Bodies from Medieval England to Modernity, Jeffrey Wilson tracks disability over 500 years, from Richard's own manuscripts, early Tudor propaganda, and x-rays of sixteenth-century paintings through Shakespeare's soliloquies, into Samuel Johnson's editorial notes, the first play produced by an African American Theater company, Freudian psychoanalysis, and the rise of disability theater. For Wilson, the changing meanings of disability created through shifting perspectives in Shakespeare's plays prefigure a series of modern attempts to understand Richard's body in different disciplinary contexts-from history and philosophy to sociology and medicine. While theorizing a role for Shakespeare in the field of disability history, Wilson reveals how Richard III has become an index for some of modernity's central concerns-the tension between appearance and reality, the conflict between individual will and external forces of nature and culture, the possibility of upward social mobility, and social interaction between self and other, including questions of discrimination, prejudice, hatred, oppression, power, and justice.

A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases. Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume * presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata * introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data * draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data * discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership * examines big data analytics and machine learning methods Easy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing data-while promoting constructive dialogues with statisticians-this book will hopefully play an important part in unlocking the secrets of these confounding diseases.

Richard III will always be central to English disability history as both man and myth-a disabled medieval king made into a monster by his nation's most important artist. In Richard III's Bodies from Medieval England to Modernity, Jeffrey Wilson tracks disability over 500 years, from Richard's own manuscripts, early Tudor propaganda, and x-rays of sixteenth-century paintings through Shakespeare's soliloquies, into Samuel Johnson's editorial notes, the first play produced by an African American Theater company, Freudian psychoanalysis, and the rise of disability theater. For Wilson, the changing meanings of disability created through shifting perspectives in Shakespeare's plays prefigure a series of modern attempts to understand Richard's body in different disciplinary contexts-from history and philosophy to sociology and medicine. While theorizing a role for Shakespeare in the field of disability history, Wilson reveals how Richard III has become an index for some of modernity's central concerns-the tension between appearance and reality, the conflict between individual will and external forces of nature and culture, the possibility of upward social mobility, and social interaction between self and other, including questions of discrimination, prejudice, hatred, oppression, power, and justice.

Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.

Should we draw an analogy between Shakespeare's tyrants-Richard III, Julius Caesar, Macbeth, and King Lear-and Donald Trump? In Shakespeare and Trump, Jeffrey Wilson applies literary criticism to real life, examining plot, character, villainy, soliloquy, tragedy, myth, and metaphor to identify the formal features of the Trump phenomenon, and its hidden causes, structure, and meanings. Wilsonapproaches his comparison prismatically. He first considers two high-concept (read: far-fetched) Shakespeare adaptations penned by Trump's former chief political strategist Steve Bannon. He looks at University of Pennsylvania students protesting Trump by taking down a monument to Shakespeare. He reads Trump's first 100 days in office against Netflix's House of Cards. Wilson also addresses the summer 2017 Shakespeare in the Park production of Julius Caesar wherein an assassination of a Trump-ian leader caused corporations to withdraw sponsorship. These stories reveal a surprising-and bizarre-relationship between the provincial English playwright and the billionaire President of the United States, ostensibly a medieval king living in a modern world. The comparison reveals a politics that blends villainy and comedy en route to tragedy.

This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health.