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Causal Inference
The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.
When We Dead Awaken: Australia, New Zealand, and the Armenian Genocide
On April 25th 1915, during the First World War, the famous Anzacs landed ashore at Gallipoli. At the exact same moment, leading figures of Armenian life in the Ottoman Empire were being arrested in vast numbers. That dark day marks the simultaneous birth of a national story – and the beginning of a genocide. When We Dead Awaken – the first narrative history of the Armenian Genocide in decades – draws these two landmark historical events together. James Robins explores the accounts of Anzac Prisoners of War who witnessed the genocide, the experiences of soldiers who risked their lives to defend refugees, and Australia and New Zealand's participation in the enormous post-war Armenian relief movement. By exploring the vital political implications of this unexplored history, When We Dead Awaken questions the national folklore of Australia, New Zealand, and Turkey – and the mythology of Anzac Day itself.
Unified Methods for Censored Longitudinal Data and Causality
A fundamental statistical framework for the analysis of complex longitudinal data is provided in this book. It provides the first comprehensive description of optimal estimation techniques based on time-dependent data structures. The techniques go beyond standard statistical approaches and can be used to teach masters and Ph.D. students. The text is ideally suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.
Elis and John Present the Holy Vible
The Elis James and John Robins' Show has become cult listening, and that cult has registered for charitable status, published quarterly accounts and been given a full blessing by the Archbishop of Broadcasting. It's official: Elis and John are a religion, and this book is their Holy Vible. Have you ever failed to Keep It Session? Is your new flatmate a complete coin? Have you ever eaten Space Raiders on the toilet and written 'Grief Is Living' in your journal? Then this book is for you. If not, don't worry, it won't be long before you're making up games, looking at Freddie, or facing your own personal farthing-gate. Our obsessions make us what we are, and though you may never have addressed a will to Brian May or cried watching Ronnie O' Sullivan make a 147, you'll have done something similar, and Elis and John are here to tell you that you're not weird, so come on in, and taste the vibe! Or should I say, READ the vibe!
Complex Surveys
A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the applica...
Handbook of Matching and Weighting Adjustments for Causal Inference
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.
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Toxic Torts
US tort law, cloaked behind increased judicial review of science, is changing before our eyes yet we cannot see it. While Supreme Court decisions have altered how courts review scientific testimony, the complexity of both science and legal procedures mask the resulting social consequences. Yet these consequences are too important to remain hidden. Mistaken court reviews of scientific evidence can decrease citizen access to the law, decrease incentives for firms to test their products, lower deterrence for harmful products, and decrease the possibility of justice for citizens injured by toxic substances. Even if courts review evidence well, increases in litigation costs and attorney screening of clients can impede access to the law. Newly revised and expanded, Toxic Torts, 2nd edition introduces these issues, reveals the relationships that can deny citizens just restitution for harms suffered, and shows how justice can be improved in toxic tort cases.
Proceedings of the Second Seattle Symposium in Biostatistics
This volume contains a selection of papers presented at the Second Seattle Symposium in Biostatistics: Analysis of Correlated Data. The symposium was held in 2000 to celebrate the 30th anniversary of the University of Washington School of Public Health and Community Medicine. It featured keynote lectures by Norman Breslow, David Cox and Ross Prentice and 16 invited presentations by other prominent researchers. The papers contained in this volume encompass recent methodological advances in several important areas, such as longitudinal data, multivariate failure time data and genetic data, as well as innovative applications of the existing theory and methods. This volume is a valuable reference for researchers and practitioners in the field of correlated data analysis.
