Analysis Of Doubly Truncated Data

Author : Achim Dörre,Takeshi Emura
Publisher : Springer
Page : 109 pages
File Size : 53,9 Mb
Release : 2019-05-13
Category : Mathematics
ISBN : 9789811362415

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Analysis of Doubly Truncated Data by Achim Dörre,Takeshi Emura Pdf

This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.

Author : Jacobo de Uña-Álvarez,Rosa M. Crujeiras,Prof Carla Moreira
Publisher : John Wiley & Sons
Page : 196 pages
File Size : 42,5 Mb
Release : 2021-11-22
Category : Medical
ISBN : 9781119951377

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The Statistical Analysis of Doubly Truncated Data by Jacobo de Uña-Álvarez,Rosa M. Crujeiras,Prof Carla Moreira Pdf

A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: A thorough introduction to the existing methods that deal with randomly truncated data Comprehensive explorations of linear regression models for doubly truncated responses Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter In-depth examinations of nonparametric and semiparametric estimators Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.

Author : Jacobo de Uña-Álvarez,Rosa M. Crujeiras,Prof Carla Moreira
Publisher : John Wiley & Sons
Page : 196 pages
File Size : 45,9 Mb
Release : 2021-11-10
Category : Medical
ISBN : 9781119500476

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The Statistical Analysis of Doubly Truncated Data by Jacobo de Uña-Álvarez,Rosa M. Crujeiras,Prof Carla Moreira Pdf

A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: A thorough introduction to the existing methods that deal with randomly truncated data Comprehensive explorations of linear regression models for doubly truncated responses Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter In-depth examinations of nonparametric and semiparametric estimators Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.

Author : Eduardo Gil,Eva Gil,Juan Gil,María Ángeles Gil
Publisher : Springer
Page : 917 pages
File Size : 49,5 Mb
Release : 2018-02-28
Category : Technology & Engineering
ISBN : 9783319738482

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The Mathematics of the Uncertain by Eduardo Gil,Eva Gil,Juan Gil,María Ángeles Gil Pdf

This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO). In more than eighty original contributions, it illustrates the extent to which Mathematics can help manage uncertainty, a factor that is inherent to real life. Today it goes without saying that, in order to model experiments and systems and to analyze related outcomes and data, it is necessary to consider formal ideas and develop scientific approaches and techniques for dealing with uncertainty. Mathematics is crucial in this endeavor, as this book demonstrates. As Professor Pedro Gil highlighted twenty years ago, there are several well-known mathematical branches for this purpose, including Mathematics of chance (Probability and Statistics), Mathematics of communication (Information Theory), and Mathematics of imprecision (Fuzzy Sets Theory and others). These branches often intertwine, since different sources of uncertainty can coexist, and they are not exhaustive. While most of the papers presented here address the three aforementioned fields, some hail from other Mathematical disciplines such as Operations Research; others, in turn, put the spotlight on real-world studies and applications. The intended audience of this book is mainly statisticians, mathematicians and computer scientists, but practitioners in these areas will certainly also find the book a very interesting read.

Author : Jianguo Sun,Ding-Geng Chen
Publisher : Springer Nature
Page : 322 pages
File Size : 51,7 Mb
Release : 2022-11-29
Category : Mathematics
ISBN : 9783031123665

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Emerging Topics in Modeling Interval-Censored Survival Data by Jianguo Sun,Ding-Geng Chen Pdf

This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data. The book invites a group of internationally leading researchers to systematically discuss and explore the historical development of the associated methods and their computational implementations, as well as emerging topics related to interval-censored data. It covers a variety of topics, including univariate interval-censored data, multivariate interval-censored data, clustered interval-censored data, competing risk interval-censored data, data with interval-censored covariates, interval-censored data from electric medical records, and misclassified interval-censored data. Researchers, students, and practitioners can directly make use of the state-of-the-art methods covered in the book to tackle their problems in research, education, training and consultation.

Author : Anonim
Publisher : ScholarlyEditions
Page : 69 pages
File Size : 41,8 Mb
Release : 2013-01-10
Category : Medical
ISBN : 9781481648752

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Issues in Healthcare Communication and Information Technology: 2012 Edition by Anonim Pdf

Issues in Healthcare Communication and Information Technology: 2012 Edition is a ScholarlyBrief™ that delivers timely, authoritative, comprehensive, and specialized information about Medical Informatics and Decision Making in a concise format. The editors have built Issues in Healthcare Communication and Information Technology: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Medical Informatics and Decision Making in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Healthcare Communication and Information Technology: 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Author : Jianguo Sun
Publisher : Springer
Page : 304 pages
File Size : 45,6 Mb
Release : 2007-05-26
Category : Mathematics
ISBN : 9780387371191

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The Statistical Analysis of Interval-censored Failure Time Data by Jianguo Sun Pdf

This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.

Author : Bharatendra K. Rai,Nanua Singh
Publisher : CRC Press
Page : 186 pages
File Size : 51,7 Mb
Release : 2009-04-28
Category : Business & Economics
ISBN : 9781439803264

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Reliability Analysis and Prediction with Warranty Data by Bharatendra K. Rai,Nanua Singh Pdf

Through simple, practical approaches, Reliability Analysis and Prediction with Warranty Data: Issues, Strategies, and Methods helps Six Sigma black belts and engineers successfully interpret warranty data to make accurate predictions. It discusses how to use this data to define and analyze field problems, provides guidelines for discovering the roo

Author : John P. Klein,Melvin L. Moeschberger
Publisher : Springer Science & Business Media
Page : 508 pages
File Size : 46,9 Mb
Release : 2013-06-29
Category : Medical
ISBN : 9781475727289

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Survival Analysis by John P. Klein,Melvin L. Moeschberger Pdf

Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques available, as well as classical techniques, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of practical notes at the end of each section, while technical details of the derivation of the techniques are sketched in the technical notes. This book will thus be useful for investigators who need to analyse censored or truncated life time data, and as a textbook for a graduate course in survival analysis, the only prerequisite being a standard course in statistical methodology.

Author : A. Clifford Cohen
Publisher : CRC Press
Page : 328 pages
File Size : 43,7 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781482277036

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Truncated and Censored Samples by A. Clifford Cohen Pdf

This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a handbook for practitioners who need simple and efficient methods for the analysis of incomplete sample data.

Author : Millie Pant,Tarun K. Sharma,Om Prakash Verma,Rajesh Singla,Afzal Sikander
Publisher : Springer Nature
Page : 1452 pages
File Size : 42,5 Mb
Release : 2020-02-24
Category : Technology & Engineering
ISBN : 9789811507519

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Soft Computing: Theories and Applications by Millie Pant,Tarun K. Sharma,Om Prakash Verma,Rajesh Singla,Afzal Sikander Pdf

The book focuses on soft computing and its applications to solve real-world problems in different domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It includes high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2018), organized by Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India. Offering significant insights into soft computing for teachers and researchers alike, the book inspires more researchers to work in the field of soft computing.

Author : Anonim
Publisher : Unknown
Page : 820 pages
File Size : 53,9 Mb
Release : 2004
Category : Mathematics
ISBN : UOM:39015058562367

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Mathematical Reviews by Anonim Pdf

Author : Mara Tableman,Jong Sung Kim
Publisher : CRC Press
Page : 277 pages
File Size : 49,6 Mb
Release : 2003-07-28
Category : Mathematics
ISBN : 9780203501412

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Survival Analysis Using S by Mara Tableman,Jong Sung Kim Pdf

Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regression models. No prior knowledge of S or R is assumed. A wide choice of exercises is included, some intended for more advanced students with a first course in mathematical statistics. The authors emphasize parametric log-linear models, while also detailing nonparametric procedures along with model building and data diagnostics. Medical and public health researchers will find the discussion of cut point analysis with bootstrap validation, competing risks and the cumulative incidence estimator, and the analysis of left-truncated and right-censored data invaluable. The bootstrap procedure checks robustness of cut point analysis and determines cut point(s). In a chapter written by Stephen Portnoy, censored regression quantiles - a new nonparametric regression methodology (2003) - is developed to identify important forms of population heterogeneity and to detect departures from traditional Cox models. By generalizing the Kaplan-Meier estimator to regression models for conditional quantiles, this methods provides a valuable complement to traditional Cox proportional hazards approaches.

Author : Oscar Castillo,Dipak Kumar Jana,Debasis Giri,Arif Ahmed
Publisher : Springer Nature
Page : 903 pages
File Size : 54,8 Mb
Release : 2020-01-31
Category : Technology & Engineering
ISBN : 9783030341527

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Recent Advances in Intelligent Information Systems and Applied Mathematics by Oscar Castillo,Dipak Kumar Jana,Debasis Giri,Arif Ahmed Pdf

This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.

Author : American Statistical Association. Section on Bayesian Statistical Science
Publisher : Unknown
Page : 742 pages
File Size : 50,8 Mb
Release : 1997
Category : Bayesian statistical decision theory
ISBN : CORNELL:31924074907365

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Proceedings of the Section on Bayesian Statistical Science by American Statistical Association. Section on Bayesian Statistical Science Pdf