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Analysis of Longitudinal Data
The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.
Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.
Breakthroughs in Statistics
Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.
Toxic Exposures
The increase in environmentally induced diseases and the loosening of regulation and safety measures have inspired a massive challenge to established ways of looking at health and the environment. Communities with disease clusters, women facing a growing breast cancer incidence rate, and people of color concerned about the asthma epidemic have become critical of biomedical models that emphasize the role of genetic makeup and individual lifestyle practices. Likewise, scientists have lost patience with their colleagues' and government's failure to adequately address environmental health issues and to safeguard research from corporate manipulation. Focusing specifically on breast cancer, asthma...
Seasonality in Human Mortality
Seasonal fluctuations in mortality are a persistent phenomenon, but variations from culture to culture pose fascinating questions. This book investigates whether sociodemographic and socioeconomic factors play a role as important for seasonal mortality as they do for mortality in general. Using modern statistical methods, the book shows, for example, that in the United States the fluctuations between winter and summer mortality are smaller the more years someone has spent in school.
Deviant Peer Influences in Programs for Youth
Most interventions for at-risk youth are group based. Yet, research indicates that young people often learn to become deviant by interacting with deviant peers. In this important volume, leading intervention and prevention experts from psychology, education, criminology, and related fields analyze how, and to what extent, programs that aggregate deviant youth actually promote problem behavior. A wealth of evidence is reviewed on deviant peer influences in such settings as therapy groups, alternative schools, boot camps, group homes, and juvenile justice facilities. Specific suggestions are offered for improving existing services, and promising alternative approaches are explored.
