Forecasting Product Liability Claims
Forecasting Product Liability Claims

Author: Eric Stallard

Publisher: Springer Science & Business Media

Published: 2005

Total Pages: 434

ISBN-13: 9780387949871

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This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

Forecasting Product Liability Claims
Forecasting Product Liability Claims

Author: Eric Stallard

Publisher: Springer

Published: 2011-03-20

Total Pages: 0

ISBN-13: 9781475752564

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This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

Clinical Prediction Models
Clinical Prediction Models

Author: Ewout W. Steyerberg

Publisher: Springer Science & Business Media

Published: 2008-12-16

Total Pages: 508

ISBN-13: 0387772448

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Prediction models are important in various fields, including medicine, physics, meteorology, and finance. Prediction models will become more relevant in the medical field with the increase in knowledge on potential predictors of outcome, e.g. from genetics. Also, the number of applications will increase, e.g. with targeted early detection of disease, and individualized approaches to diagnostic testing and treatment. The current era of evidence-based medicine asks for an individualized approach to medical decision-making. Evidence-based medicine has a central place for meta-analysis to summarize results from randomized controlled trials; similarly prediction models may summarize the effects of predictors to provide individu- ized predictions of a diagnostic or prognostic outcome. Why Read This Book? My motivation for working on this book stems primarily from the fact that the development and applications of prediction models are often suboptimal in medical publications. With this book I hope to contribute to better understanding of relevant issues and give practical advice on better modelling strategies than are nowadays widely used. Issues include: (a) Better predictive modelling is sometimes easily possible; e.g. a large data set with high quality data is available, but all continuous predictors are dich- omized, which is known to have several disadvantages.

Encyclopedia of White-Collar & Corporate Crime
Encyclopedia of White-Collar & Corporate Crime

Author: Lawrence M. Salinger

Publisher: SAGE

Published: 2005

Total Pages: 1013

ISBN-13: 0761930043

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In a thorough reappraisal of the white-collar and corporate crime scene, this Second Edition builds on the first edition to complete the criminal narrative in an outstanding reference resource.

Discussion of the Committee on Daubert Standards
Discussion of the Committee on Daubert Standards

Author: National Research Council

Publisher: National Academies Press

Published: 2006-08-19

Total Pages: 46

ISBN-13: 0309102480

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In 1993, the U.S. Supreme Court in Daubert v. Merrell Dow Pharmaceuticals, Inc., laid out a new test for federal trial judges to use when determining the admissibility of expert testimony. In Daubert, the Court ruled that judges should act as gatekeepers, assessing the reliability of the scientific methodology and reasoning that supports expert testimony. The resulting judicial screening of expert testimony has been particularly consequential. While the Supreme Court sought to bring better science into the courtroom, questions remain about whether the lower courts' application of Daubert accords with scientific practices. This report summarizes discussions held by an ad hoc committee of the The National Academies to consider the impact of Daubert and subsequent Supreme Court opinions and to identify questions for future study.

Product Liability Insurance
Product Liability Insurance

Author: United States. Congress. House. Committee on Small Business. Subcommittee on Capital, Investment, and Business Opportunities

Publisher:

Published: 1977

Total Pages: 528

ISBN-13:

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The Frailty Model
The Frailty Model

Author: Luc Duchateau

Publisher: Springer Science & Business Media

Published: 2007-10-23

Total Pages: 329

ISBN-13: 038772835X

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Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.

Modeling Infectious Disease Parameters Based on Serological and Social Contact Data
Modeling Infectious Disease Parameters Based on Serological and Social Contact Data

Author: Niel Hens

Publisher: Springer Science & Business Media

Published: 2012-10-24

Total Pages: 300

ISBN-13: 1461440726

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Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition from the susceptible to the infected class is the hazard of infection, often referred to as the force of infection. The force of infection reflects the degree of contact with potential for transmission between infected and susceptible individuals. The mathematical relation between the force of infection and effective contact patterns is generally assumed to be subjected to the mass action principle, which yields the necessary information to estimate the basic reproduction number, another key parameter in infectious disease epidemiology. It is within this context that the Center for Statistics (CenStat, I-Biostat, Hasselt University) and the Centre for the Evaluation of Vaccination and the Centre for Health Economic Research and Modelling Infectious Diseases (CEV, CHERMID, Vaccine and Infectious Disease Institute, University of Antwerp) have collaborated over the past 15 years. This book demonstrates the past and current research activities of these institutes and can be considered to be a milestone in this collaboration. This book is focused on the application of modern statistical methods and models to estimate infectious disease parameters. We want to provide the readers with software guidance, such as R packages, and with data, as far as they can be made publicly available.

The Statistics of Gene Mapping
The Statistics of Gene Mapping

Author: David Siegmund

Publisher: Springer Science & Business Media

Published: 2007-05-27

Total Pages: 337

ISBN-13: 0387496866

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This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.