Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling. In response to the growing need for collaboration between statisticians and
This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics.
This fresh, comprehensive study of ancient Greek atheism aims to dismantle the current consensus that atheism was ‘unthinkable’ in ancient Greece, demonstrating instead that atheism was not only thinkable but inextricably embedded in the Greek religious environment. Through careful analysis of a wide range of source material provided in modern English translation, and drawing on philosophy, theology, sociology, and other disciplines, Ford unpicks a two and a half thousand-year history of marginalisation, clearing the way for a new analysis. He lays out in clear terms the nature and form of ancient Greek atheism as the ancient Greeks conceived of it, through a series of themes and lenses. Topics such as religious socialisation, the interaction of atheist philosophy and theology, identity formation through alterity, and the use of atheism in scapegoating are considered not only in broad terms, using a synthesis of modern scholarship to mark out an overview in line with modern consensus, but also by drawing on the unique perspective of ancient atheism Ford is able to provide innovative theories about a range of subjects. Atheism at the Agora is of interest to students and scholars in Classics, particularly Greek religion and culture, as well as those studying atheism in other historical and contemporary areas, religious studies, philosophy, and theology.
Felix Leiter finds himself in Japan, tracking down a beautiful, Russian spy from his past. But when the mission takes a turn for the worse, he will discover that there are more deadly schemes afoot in Tokyo and beyond! From superstar creative team James Robinson (Starman, Red Sonja) and Aaron Campbell (The Shadow, Uncanny) comes the Bond spin-off highlighting 007’s American counterpart, blending spy thrills with the dark alleys and darker deeds of crime fiction!
Written during the long battles with Sparta that were to ultimately destroy ancient Athens, these six plays by Euripides brilliantly utilize traditional legends to illustrate the futility of war. The Children of Heracles holds up a mirror to a contemporary Athens, while Andromache considers the position of women in Greek wartime society. In The Suppliant Women, the difference between a just and an unjust battle is explored, while The Phoenician Women describes the brutal rivalry of the sons of King Oedipus, and the compelling Orestes depicts the guilt caused by vengelful murder. Finally, Iphigenia in Aulis, Euripides' last play, contemplates religious sacrifice and the insanity of war. Together, the plays offer a moral and political statement that is at once unique to the ancient world and prophetically relevant to our own."--P. [4] of cover.
Our 54th issue is another good one. On the mystery side, we have a great original tale by Jacqueline Freimor (courtesy of Acquiring Editor Michael Bracken), plus strong stories by Stephen D. Rogers (selected by Barb Goffman) and James Holding, another solve-it-yourself puzzler from Hal Charles (the writing team of Hal Blythe and Charlie Sweet), and an Edwardian mystery novel by Dick Donovan—whose popularity rivaled that of Arthur Conan Doyle in their day. On the science fiction side, Acquiring Editor Cynthia Ward has a stunning tale by Holly Wade Matter, plus we have classic shorts by James Blish, Robert Zacks, and Kendell Foster Crossen—plus a novel by Arthur K. Barnes. Good stuff! Here’s the complete lineup: Mysteries / Suspense / Adventure: “A Death-drop to Die For,” by Jacqueline Freimor [Michael Bracken Presents short story] “Most Guilty Person,” by Hal Charles [Solve-It-Yourself Mystery] “Sensing the Fall,” by Stephen D. Rogers [Barb Goffman Presents short story] “Phase Four,” by James Holding [short story] A Gilded Serpent, by Dick Donovan [novel] Science Fiction & Fantasy: “The Russian Winter,” by Holly [short story] "Inside Matter," by James Blish “From Outer Space,” by Robert Zacks [short story] “The Gnome’s Gneiss,” by Kendell Foster Crossen [short story] Interplanetary Hunter, by Arthur K. Barnes [novel]
The figure of Medea has inspired artists in all fields throughout the centuries. This work examines the major representations of Medea in myth, art, and ancient and contemporary literature, as well as the philosophical, psychological and cultural questions these portrayals raise.
Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.
The volume provides a full literary and textual commentary on three of the verse epistles (Heroides) by the Roman poet Ovid (43 BC. – AD. 17): the letter of Canace to her brother-lover Macareus; of Laodamia to the war-hero Protesilaus; and of Hypermestra to Lynceus, the cousin whose life she recently spared. These three poems, together with the letters of Medea (recently the subject of a commentary in the same series) and Sappho, formed the last of Ovid’s three books of heroine letters. The introduction discusses Ovid’s innovative use both of his sources and of the epistolary form. A text with selective apparatus is provided for each of the three poems, and the detailed commentary is fully indexed.
Statistics Analysis of Geographical Data: An Introduction provides a comprehensive and accessible introduction to the theory and practice of statistical analysis in geography. It covers a wide range of topics including graphical and numerical description of datasets, probability, calculation of confidence intervals, hypothesis testing, collection and analysis of data using analysis of variance and linear regression. Taking a clear and logical approach, this book examines real problems with real data from the geographical literature in order to illustrate the important role that statistics play in geographical investigations. Presented in a clear and accessible manner the book includes recent, relevant examples, designed to enhance the reader’s understanding.
Praise for the First Edition ". . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis." —Journal of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences. The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effects models Multiple imputation and inverse probability weighted methods Smoothing methods for longitudinal data Sample size and power Each chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS, Stata, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material. With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.
The 1950s was a time of regeneration and change for Southampton. For children growing up during this decade, life was changing fast. They still made their own toys and earned their own pocket money, but, on new television sets, Andy Pandy (1950) and Bill and Ben (1952) delighted them. With rationing discontinued, confectionary was on the menu again and, for children, Southampton life in the 1950s was sweet. If you saw a Laurel and Hardy performance at The Gaumont Theatre, or made dens out of bombed-out buildings, then you'll thoroughly enjoy this charming and nostalgic account of the era.
An algorithm cast Kevin Spacey for House of Cards. Rob McElheney gained 50lbs for It's Always Sunny in Philadelphia because he thought it would be funny. Stranger Things was supposed to be called Montauk. No two zombies in The Walking Dead have the same design. In the Game of Thrones books, Tyrion has no nose. Matthew Broderick was meant to play Walter White in Breaking Bad. Jack Bauer kills 309 people in 24. Tobias from Arrested Development is secretly black. The Big Bang Theory was banned in China. Monica and Joey were meant to be the main love story in Friends. In Family Guy, Meg's full name is Megatron Griffin. Doctor Who was nearly cancelled after one episode. Martin Scorsese absolutely loves Fawlty Towers. Will Smith was so poor before starring in The Fresh Prince of Bel Air, his only mode of transport was an engineless scooter.
In Greek tragedy, women constantly struggle to control language. This book shows how aspects of womena (TM)s communicationa "song, silence and secret-keeping as female verbal genres, and the challenges of speaking out of placea "constitute a decisive factor in Euripidesa (TM) portrayal of gender.
Over recent years, developments in statistical computing have freed statisticians from the burden of calculation and have made possible new methods of analysis that previously would have been too difficult or time-consuming. Up till now these developments have been primarily in numerical computation and graphical display, but equal steps forward are now being made in the area of symbolic computing: the use of computer languages and procedures to manipulate expressions. This allows researchers to compute an algebraic expression, rather than evaluate the expression numerically over a given range. This book summarizes a decade of research into the use of symbolic computation applied to statistical inference problems. It shows the considerable potential of the subject to automate statistical calculation, leaving researchers free to concentrate on new concepts. Starting with the development of algorithms applied to standard undergraduate problems, the book then goes on to develop increasingly more powerful tools. Later chapters then discuss the application of these algorithms to different areas of statistical methodology.
Spatio-Temporal Methods in Environmental Epidemiology with R, like its First Edition, explores the interface between environmental epidemiology and spatio-temporal modeling. It links recent developments in spatio-temporal theory with epidemiological applications. Drawing on real-life problems, it shows how recent advances in methodology can assess the health risks associated with environmental hazards. The book's clear guidelines enable the implementation of the methodology and estimation of risks in practice. New additions to the Second Edition include: a thorough exploration of the underlying concepts behind knowledge discovery through data; a new chapter on extracting information from data using R and the tidyverse; additional material on methods for Bayesian computation, including the use of NIMBLE and Stan; new methods for performing spatio-temporal analysis and an updated chapter containing further topics. Throughout the book there are new examples, and the presentation of R code for examples has been extended. Along with these additions, the book now has a GitHub site (https://spacetime-environ.github.io/stepi2) that contains data, code and further worked examples. Features: • Explores the interface between environmental epidemiology and spatio-temporal modeling • Incorporates examples that show how spatio-temporal methodology can inform societal concerns about the effects of environmental hazards on health • Uses a Bayesian foundation on which to build an integrated approach to spatio-temporal modeling and environmental epidemiology • Discusses data analysis and topics such as data visualization, mapping, wrangling and analysis • Shows how to design networks for monitoring hazardous environmental processes and the ill effects of preferential sampling • Through the listing and application of code, shows the power of R, tidyverse, NIMBLE and Stan and other modern tools in performing complex data analysis and modeling Representing a continuing important direction in environmental epidemiology, this book – in full color throughout – underscores the increasing need to consider dependencies in both space and time when modeling epidemiological data. Readers will learn how to identify and model patterns in spatio-temporal data and how to exploit dependencies over space and time to reduce bias and inefficiency when estimating risks to health.
The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately
This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.
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