Multistate Models for the Analysis of Life History Data


Book Description

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. It features: Discusses a wide range of applications of multistate models, Presents methods for both continuously and intermittently observed life history processes, Gives a thorough discussion of conditionally independent censoring and observation processes, Discusses models with random effects and joint models for two or more multistate processes, Discusses and illustrates software for multistate analysis that is available in R, Target audience includes those engaged in research and applications involving multistate models.




Info We Trust


Book Description

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation — what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things “in formation” to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.




Beautiful Data


Book Description

Beautiful Data is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our forms of attention, observation, and truth are contingent and contested, Orit Halpern historicizes the ways that we are trained, and train ourselves, to observe and analyze the world. Tracing the postwar impact of cybernetics and the communication sciences on the social and human sciences, design, arts, and urban planning, she finds a radical shift in attitudes toward recording and displaying information. These changed attitudes produced what she calls communicative objectivity: new forms of observation, rationality, and economy based on the management and analysis of data. Halpern complicates assumptions about the value of data and visualization, arguing that changes in how we manage and train perception, and define reason and intelligence, are also transformations in governmentality. She also challenges the paradoxical belief that we are experiencing a crisis of attention caused by digital media, a crisis that can be resolved only through intensified media consumption.




Collected Reprints


Book Description







Kaplan & Sadock's Concise Textbook of Clinical Psychiatry


Book Description

Ideal for any student or health care professional who needs an authoritative text that is sharply focused on clinical psychiatry, this book contains the most relevant clinical material from the bestselling "Kaplan and Sadock's Synopsis of Psychiatry, 10th Edition" and includes updated information on recently introduced psychiatric drugs.




Kaplan & Sadock's Synopsis of Psychiatry


Book Description

The bestselling general psychiatry text since 1972 is now thoroughly updated. This complete, concise overview of the entire field of psychiatry is a staple board review text for psychiatry residents and is popular with a broad range of students and practitioners in medicine, clinical psychology, social work, nursing, and occupational therapy.










Demography - Volume I


Book Description

According to the classic and widely accepted statement by Hauser and Duncan (1959: 2), demography is defined as “the study of the size, territorial distribution, and components of population, changes therein, and components of such changes.” Almost all disciplines of social sciences and most disciplines of natural sciences deal with human beings in one way or another, either directly or indirectly. Furthermore, demographic concepts (e.g., birth rate, death rate, and migration) and methods and analysis strategies (e.g., life table analysis) can be readily extended to other species (insects, animals, plants, etc.) and inanimate collectives (enterprises, automobiles, etc.). Clearly, demography is an important thematic field in science and it may provide the empirical foundation for studying human beings, animals, and inanimate collectives on which other relevant scientific research is built. The volume aims to be of value to the various audiences of both non-specialists and experts who seek a comprehensive understanding of issues related to human population. As reviewed in the very beginning of the Theme Introduction, “interdisciplinary” is one of the three major features of demography. Given the rapid development in techniques for collecting not only demographic data but also other related data concerning health, biomarkers, genetics, behaviors, and social and natural environments in conventional population surveys, as well as rapidly enhancing computing powers, this volume shows and concludes that demography will be even more interdisciplinary in the coming decades. A notable example is that the cross-field “marriage” between bio-medical sciences and demography will lead us to enter an era in which bio-medical and demographic methods will be well integrated. As indicated by James R. Carey and James W. Vaupel in Chapter 13 of this volume, the bio-demographic branches of demography are vibrant areas of demographic research that are rapidly growing and that have great potential to enrich and enlarge the domain of demography. Not only can demographers learn much from biologists and epidemiologists, but demographers can contribute much to research on life in general and to research on population health. The increasing availability of data sources and much enhanced computing/internet power will also lead demography to be more interactive with the other fields, such as psychology, environmental science, economics, business and management, etc. As discussed in this volume’s Chapter 11 by Swanson and Pol, for example, it is now possible to link conventional demographic data sources of census, surveys, and vital statistics with administrative records such as social security, tax reporting, medical insurance, hospital records, school registration, supermarket purchasing cards use, etc., while protecting individuals’ privacy. Such linkages will substantially increase the value of demographic methods, surveys and administrative records for scientific research and policy analysis, as well as the applicability of demography in business and governmental decision making processes.