Statistical Aspects of BSE and vCJD

Statistical Aspects of BSE and vCJD
Author: C A Donnelly
Publisher: CRC Press
Total Pages: 246
Release: 1999-07-21
Genre: Mathematics
ISBN: 9780849303869

Bovine Spongiform Encephalopathy (BSE) or "mad cow disease," first diagnosed in late 1986, is transmitted through feed, indirect horizontal transmission, apparently maternally and possibly horizontally, through cattle-to-cattle contact or a contaminated environment. With no ante-mortem test yet developed, the only information available about BSE is from case surveillance and a limited number of experiments. Only through careful and rigorous modeling and analysis can reliable estimates of past infection and predictions of future cases be made. The modeling developed for BSE utilizes a range of techniques from statistics, ecology, and demography that is of interest both as a case study and for providing tools for other modeling projects. Statistical Aspects of BSE and vCJD: Models for Epidemics presents the general methodology required for thorough analysis and modeling of novel long incubation diseases with largely unknown etiology. BSE in British cattle is the primary example system presented, but application to other diseases, particularly the transmissible spongiform encephalopathies (e.g., Scrapie in sheep and nvCJD in humans) are also highlighted. The book concentrates on presenting an exposition of the "state-of-the-art" rather than introductory material on the mathematical/statistical modeling of infectious diseases.

Hierarchical Modeling and Analysis for Spatial Data

Hierarchical Modeling and Analysis for Spatial Data
Author: Sudipto Banerjee
Publisher: CRC Press
Total Pages: 583
Release: 2014-09-12
Genre: Mathematics
ISBN: 1439819181

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and ModelingSince the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflec

Analysis of Variance for Functional Data

Analysis of Variance for Functional Data
Author: Jin-Ting Zhang
Publisher: CRC Press
Total Pages: 406
Release: 2013-06-18
Genre: Mathematics
ISBN: 1439862745

Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of functional observations, functional ANOVA, functional l

Robust Cluster Analysis and Variable Selection

Robust Cluster Analysis and Variable Selection
Author: Gunter Ritter
Publisher: CRC Press
Total Pages: 397
Release: 2014-09-02
Genre: Computers
ISBN: 1439857962

Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications of probabilistic clustering and variable selection, synthesizing the key research results of the last 50 years. The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals. Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.

Asymptotic Analysis of Mixed Effects Models

Asymptotic Analysis of Mixed Effects Models
Author: Jiming Jiang
Publisher: CRC Press
Total Pages: 252
Release: 2017-09-19
Genre: Mathematics
ISBN: 1498700462

Large sample techniques are fundamental to all fields of statistics. Mixed effects models, including linear mixed models, generalized linear mixed models, non-linear mixed effects models, and non-parametric mixed effects models are complex models, yet, these models are extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph is suitable for researchers and graduate students who wish to learn about asymptotic tools and research problems in mixed effects models. It may also be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.

Missing and Modified Data in Nonparametric Estimation

Missing and Modified Data in Nonparametric Estimation
Author: Sam Efromovich
Publisher: CRC Press
Total Pages: 448
Release: 2018-03-12
Genre: Mathematics
ISBN: 1351679848

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing survival data, stationary and nonstationary time series and processes, and ill-posed modifications. The coverage is suitable for self-study or a one-semester course for graduate students with a prerequisite of a standard course in introductory probability. Exercises of various levels of difficulty will be helpful for the instructor and self-study. The book is primarily about practically important small samples. It explains when consistent estimation is possible, and why in some cases missing data should be ignored and why others must be considered. If missing or data modification makes consistent estimation impossible, then the author explains what type of action is needed to restore the lost information. The book contains more than a hundred figures with simulated data that explain virtually every setting, claim, and development. The companion R software package allows the reader to verify, reproduce and modify every simulation and used estimators. This makes the material fully transparent and allows one to study it interactively. Sam Efromovich is the Endowed Professor of Mathematical Sciences and the Head of the Actuarial Program at the University of Texas at Dallas. He is well known for his work on the theory and application of nonparametric curve estimation and is the author of Nonparametric Curve Estimation: Methods, Theory, and Applications. Professor Sam Efromovich is a Fellow of the Institute of Mathematical Statistics and the American Statistical Association.

Joint Modeling of Longitudinal and Time-to-Event Data

Joint Modeling of Longitudinal and Time-to-Event Data
Author: Robert Elashoff
Publisher: CRC Press
Total Pages: 262
Release: 2016-10-04
Genre: Mathematics
ISBN: 1439807833

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website. This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.

Risk management strategies: monitoring and surveillance

Risk management strategies: monitoring and surveillance
Author: Frans J.M. Smulders
Publisher: BRILL
Total Pages: 352
Release: 2023-08-28
Genre: Business & Economics
ISBN: 9086865348

For the veterinarian, monitoring and surveillance represent the best means of ensuring sustainable animal production at a time when consumer demands reflect awareness that many of the hazards associated with food animal production can be minimised or avoided through proper management at the primary production level. Preventive medicine and quality and safety assurance programmes are primarily based on knowledge of the existing strengths and weaknesses of the clients' enterprise and their ability to enact effective intervention measures. Accordingly, the food animal veterinarian relies upon effective monitoring of current performance and herd health status both for the purpose of maximising efficiency of production and providing an assurance that the primary food product meets required health standards in terms of freedom from those agents of concern that have their origin on the farm. These agents include foodborne parasites, pathogenic bacteria, some of which display a resistance to antimicrobial agents, contaminants of environmental origin, as well as chemical and pharmaceutical residues. The more successful these hazards are addressed at the farm, the better the quality and safety of the final product and their marketing possibilities will be. Communication between the primary producer and the food processing industry that facilitates real-time exchange of information on these issues is essential for the practice of preventive medicine at the herd and flock level. Integrated food chain quality and safety control programmes, when linked to such monitoring and surveillance principles in regard to both human and animal health, represent the means of achieving sustainable food animal production on a global scale, in line with the conclusions of WTO and EU. Volume 3 of the "Food Safety Assurance and Veterinary Public Health" series addresses this collaborative approach. Leading international experts from academia, industry and governmental institutions have been identified to deal with the various aspects of this collaborative approach in monitoring and surveillance.

Advancing Prion Science

Advancing Prion Science
Author: Institute of Medicine
Publisher: National Academies Press
Total Pages: 125
Release: 2003-04-20
Genre: Medical
ISBN: 0309087449

In Advancing Prion Science, the Institute of Medicine's Committee on Transmissible Spongiform Encephalopathies Assessment of Relevant Science recommends priorities for research and investment to the Department of Defense's National Prion Research Program (NPRP). Transmissible spongiform encephalopathies (TSEs), also called prion diseases, are invariably fatal neurodegenerative infectious diseases that include bovine spongiform encephalopathy (commonly called mad cow disease), chronic wasting disease, scrapie, and Creutzfeldt-Jakob disease. To develop antemortem diagnostics or therapies for TSEs, the committee concludes that NPRP should invest in basic research specifically to elucidate the structural features of prions, the molecular mechanisms of prion replication, the mechanisms of TSE pathogenesis, and the physiological function of prions' normal cellular isoform. Advancing Prion Science provides the first comprehensive reference on present knowledge about all aspects of TSEs' from basic science to the U.S. research infrastructure, from diagnostics to surveillance, and from prevention to treatment. This report summarizes the progress thus far.

Generalized Linear Models with Random Effects

Generalized Linear Models with Random Effects
Author: Youngjo Lee
Publisher: CRC Press
Total Pages: 467
Release: 2018-07-11
Genre: Mathematics
ISBN: 1498720625

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.