Author : Yanwei Zhang
Publisher :
Page : 270 pages
File Size : 24,89 MB
Release : 2008
Category : Bayesian statistical decision theory
ISBN :
Author :
Publisher :
Page : 886 pages
File Size : 30,74 MB
Release : 2008
Category : Dissertations, Academic
ISBN :
Author : Isadora Antoniano-Villalobos
Publisher : Springer
Page : 154 pages
File Size : 42,81 MB
Release : 2020-11-06
Category : Mathematics
ISBN : 9783030315535
The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as “big data”. Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.
Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 492 pages
File Size : 22,6 MB
Release : 2004-08-16
Category : Business & Economics
ISBN : 9780521535380
An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Author : Andrew B. Lawson
Publisher : CRC Press
Page : 704 pages
File Size : 33,51 MB
Release : 2016-04-06
Category : Mathematics
ISBN : 148225302X
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. These analyses can provide imp
Author : Zhe Jiang
Publisher : Springer
Page : 138 pages
File Size : 47,45 MB
Release : 2017-07-13
Category : Computers
ISBN : 3319601954
Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed. This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (e.g., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.
Author :
Publisher :
Page : 1860 pages
File Size : 17,67 MB
Release : 1999
Category : Medicine
ISBN :
Author : Yingwei Peng
Publisher : CRC Press
Page : 268 pages
File Size : 24,99 MB
Release : 2021-03-22
Category : Mathematics
ISBN : 0429629680
Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling, survival models, and R and SAS for data analysis. The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include the foundation of statistical estimation and inference of cure models for independent and right-censored survival data, cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data, statistical testing for the existence and difference of cure rates and sufficient follow-up, new developments in Bayesian cure models, applications of cure models in public health research and clinical trials.
Author : Hans L. Rieder
Publisher :
Page : 180 pages
File Size : 23,11 MB
Release : 1999
Category : Tuberculosis
ISBN :
Author : David J. Spiegelhalter
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 42,23 MB
Release : 2004-01-16
Category : Mathematics
ISBN : 9780471499756
READ ALL ABOUT IT! David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries. Order a copy of this author’s comprehensive text TODAY! The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notably in medical research, and although there are a number of books on Bayesian analysis, few cover clinical trials and biostatistical applications in any detail. Bayesian Approaches to Clinical Trials and Health-Care Evaluation provides a valuable overview of this rapidly evolving field, including basic Bayesian ideas, prior distributions, clinical trials, observational studies, evidence synthesis and cost-effectiveness analysis. Covers a broad array of essential topics, building from the basics to more advanced techniques. Illustrated throughout by detailed case studies and worked examples Includes exercises in all chapters Accessible to anyone with a basic knowledge of statistics Authors are at the forefront of research into Bayesian methods in medical research Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package Bayesian Approaches to Clinical Trials and Health-Care Evaluation is suitable for students and researchers in medical statistics, statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and assessment of health-care technology.
