Univ. of Southern California, Los Angeles, CA. [NATO ASI, Series A: Life Sciences, Volume 292> Proceedings of a NATO Advanced Study Institute on the... Biosocial Bases of Violence, held May 12-21, 1996, in Rhodes, Greece.

This is the best textbook to read for bio-social Criminology. If you don't have a strong biology background you might be a bit overwhelmed but K. Beaver... breaks it down for those not scientifically inclined. A book to be enjoyed and re read as it stimulates your interest in it.

Ideal for use, either as a second text in a standard criminology course, or for a discrete course on biosocial perspectives, this book of original... chapters breaks new and important ground for ways today's criminologists need to think more broadly about the crime problem.

Paralleling the discovery of HIV and the rise of the AIDS pandemic, a flock of naysayers has dedicated itself to replacing genuine knowledge with... destructive misinformation—and spreading from the fringe to the mainstream media and the think tank. Now from the editor of the journal AIDS and Behavior comes a bold exposé of the scientific and sociopolitical forces involved in this toxic evasion. Denying AIDS traces the origins of AIDS dissidents disclaimers during the earliest days of the epidemic and delves into the psychology and politics of the current denial movement in its various incarnations. Seth Kalichman focuses not on the “difficult” or doubting patient, but on organized, widespread forms of denial (including the idea that HIV itself is a myth and HIV treatments are poison) and the junk science, faulty logic, conspiracy theories, and larger forces of homophobia and racism that fuel them. The malignant results of AIDS denial can be seen in those individuals who refuse to be tested, ignore their diagnoses, or reject the treatments that could save their lives. Instead of ignoring these currents, asserts Kalichman, science has a duty to counter them. Among the topics covered: Why AIDS denialism endures, and why science must understand it. Pioneer virus HIV researcher Peter Duesberg’s role in AIDS denialism. Flawed immunological, virological, and pharmacological pseudoscience studies that are central to texts of denialism. The social conservative agenda and the politics of AIDS denial, from the courts to the White House. The impact of HIV misinformation on public health in South Africa. Fighting fiction with reality: anti-denialism and the scientific community. For anyone affected by, interested in, or working with researchers in HIV/AIDS, and public health professionals in general, the insight and vision of Denying AIDS will inspire outrage, discussion, and ultimately action. See http://denyingaids.blogspot.com/ for more information.

Zar’s Biostatistical Analysis, Fifth Edition, is the ideal book for readers seeking practical coverage of statistical analysis methods used by... researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginners and as a comprehensive reference book for biological researchers and other advanced users.   Introduction; Populations and Samples; Measures of Central Tendency; Measures of Dispersion and Variability; Probabilities; The Normal Distribution; One-Sample Hypotheses; Two-Sample Hypotheses; Paired-Sample Hypotheses; Multisample Hypotheses: The Analysis of Variance; Multiple Comparisons; Two-Factor Analysis of Variance; Data Transformations; Multiway Factorial Analysis of Variance; Nested (Hierarchical) Analysis of Variance; Multivariate Analysis of Variance; Simple Linear Regression; Comparing Simple Linear Regression Equations; Simple Linear Correlation; Multiple Regression and Correlation; Polynomial Regression; Testing for Goodness of Fit; Contingency Tables; More on Dichotomous Variables; Testing for Randomness; Circular Distributions: Descriptive Statistics; Circular Distributions: Hypothesis Testing   For all readers interested in biostatistics.

R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws... upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research.Topics covered include:simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques.The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.

Praise for the First Edition". . . an excellent textbook . . . an indispensable reference for biostatisticians and epidemiologists."—International... Statistical InstituteA new edition of the definitive guide to classical and modern methods of biostatisticsBiostatistics consists of various quantitative techniques that are essential to the description and evaluation of relationships among biologic and medical phenomena. Biostatistical Methods: The Assessment of Relative Risks, Second Edition develops basic concepts and derives an expanded array of biostatistical methods through the application of both classical statistical tools and more modern likelihood-based theories. With its fluid and balanced presentation, the book guides readers through the important statistical methods for the assessment of absolute and relative risks in epidemiologic studies and clinical trials with categorical, count, and event-time data.Presenting a broad scope of coverage and the latest research on the topic, the author begins with categorical data analysis methods for cross-sectional, prospective, and retrospective studies of binary, polychotomous, and ordinal data. Subsequent chapters present modern model-based approaches that include unconditional and conditional logistic regression; Poisson and negative binomial models for count data; and the analysis of event-time data including the Cox proportional hazards model and its generalizations. The book now includes an introduction to mixed models with fixed and random effects as well as expanded methods for evaluation of sample size and power. Additional new topics featured in this Second Edition include:Establishing equivalence and non-inferiorityMethods for the analysis of polychotomous and ordinal data, including matched data and the Kappa agreement indexMultinomial logistic for polychotomous data and proportional odds models for ordinal dataNegative binomial models for count data as an alternative to the Poisson modelGEE models for the analysis of longitudinal repeated measures and multivariate observationsThroughout the book, SAS is utilized to illustrate applications to numerous real-world examples and case studies. A related website features all the data used in examples and problem sets along with the author's SAS routines.Biostatistical Methods, Second Edition is an excellent book for biostatistics courses at the graduate level. It is also an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.

Despite the popular view of medieval Europe as a Dark Age of intellectual stagnation, scientific and technological achievement thrived during this time.... As any vacationer to Europe knows, churches and castles remain lasting testaments to the ingenuity of that period in history. Through carefully chosen examples which are presented in easily accessible thematic chapters, Science and Technology in Medieval European Life demonstrates how these two aspects of human achievement, far from being ivory-tower enterprises, impacted the daily life of people in medieval Europe. These topics will also resonate with modern readers in their own daily lives.This reference work begins with an historical introduction that situates medieval science and technology into its social, intellectual and religious context. Among the varied topics found in the chapters are: armor making, waterwheels and waterpower, chimneys, stained glass, communication technology, ship building, medicine both academic and village, mechanical clocks, calendar creation, and astrology. For those interested in pursuing further research into this area of history, the book concludes with a chronology of events, a suggested list of further reading and a glossary.

An essential introductory text linking traditional biostatistics with bayesian methodsIn recent years, Bayesian methods have seen an explosion of... interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health. As an interpretive system integrating data with observation, the Bayesian approach provides a nuanced yet mathematically rigorous means of conceptualizing biomedical statistics--from diagnostic tests to DNA evidence.Biostatistics: A Bayesian Introduction offers a pioneering approach by presenting the foundations of biostatistics through the Bayesian lens. Using easily understood, classic Dutch Book thought experiments to derive subjective probability from a simple principle of rationality, the book connects statistical science with scientific reasoning. The author shows how to compute, interpret, and report Bayesian statistical analyses in practice, and illustrates how to reinterpret traditional statistical reporting--such as confidence intervals, margins of error, and one-sided p-values--in Bayesian terms. Topics covered include:* Probability and subjective probability* Distributions and descriptive statistics* Continuous probability distributions* Comparing rates and means* Linear models and statistical adjustment* Logistic regression and adjusted odds ratios* Survival analysis* Hierarchical models and meta-analysis* Decision theory and sample size determinationThe book includes extensive problem sets and references in each chapter, as well as complete instructions on computer analysis with the versatile SAS and WinBUGS software packages as well as the Excel spreadsheet program. For professionals and students, Biostatistics: A Bayesian Introduction offers an unique, real-world entry point into a remarkable alternative method of interpreting statistical data.

Allied health professionals rely on Biostatistics for its high standards of statistical accuracy. It helps them develop a set of statistical tools that... are relevant to their field. Now in its ninth edition, the book integrates new applications from several biological science fields throughout the pages. Each chapter now opens with bulleted objectives that highlight the main ideas. Summary boxes of formulae and statistical rules are presented for easy reference and review. Support is also provided for multiple programs such as SPSS, SAS, and STATA, in addition to Minitab. This includes screen captures and technology boxes with step-by-step help. Health professionals will then gain the ability to use technology to analyze data.

A respected introduction to biostatistics, thoroughly updated and revisedThe first edition of Biostatistics: A Methodology for the Health Sciences has... served professionals and students alike as a leading resource for learning how to apply statistical methods to the biomedical sciences. This substantially revised Second Edition brings the book into the twenty-first century for today’s aspiring and practicing medical scientist.This versatile reference provides a wide-ranging look at basic and advanced biostatistical concepts and methods in a format calibrated to individual interests and levels of proficiency. Written with an eye toward the use of computer applications, the book examines the design of medical studies, descriptive statistics, and introductory ideas of probability theory and statistical inference; explores more advanced statistical methods; and illustrates important current uses of biostatistics.New to this edition are discussions ofLongitudinal data analysisRandomized clinical trialsBayesian statisticsGEEThe bootstrap methodEnhanced by a companion Web site providing data sets, selected problems and solutions, and examples from such current topics as HIV/AIDS, this is a thoroughly current, comprehensive introduction to the field.