Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields. This book introduces readers to statistical methodologies used to analyze doubly truncated data.
Author: Achim Dörre
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.
A multiple imputation approach to regression analysis for doubly censored data ... Estimating survival curves with left truncated and interval censored data ...
Author: Jianguo Sun
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.
Chapter 6 briefly considers how proportional hazards model can be fitted to many
radiotelemetry studies with left-truncated data with standard binary regression
software. Finally, Chapter 7 considers possible extensions. REFERENCES ...
inference about doubly censored data. See Sun  for a review of the related literature. Other Censorings The discussion so far has focused on univariate ...
Publisher: John Wiley & Sons
Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.
A multiple imputation approach to regression analysis for doubly censored data ... censored and truncated data, Journal of the Royal Statistical Society, ...
Author: Jean-Louis Auget
Publisher: Springer Science & Business Media
Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.
Author: Narayanaswamy BalakrishnanPublish On: 2004-01-30
However, it is not obvious how to generalize the estimating equation method in Section 3 to truncation situations. In terms of regression analysis, ...
Author: Narayanaswamy Balakrishnan
Handbook of Statistics: Advances in Survival Analysis covers all important topics in the area of Survival Analysis. Each topic has been covered by one or more chapters written by internationally renowned experts. Each chapter provides a comprehensive and up-to-date review of the topic. Several new illustrative examples have been used to demonstrate the methodologies developed. The book also includes an exhaustive list of important references in the area of Survival Analysis. Includes up-to-date reviews on many important topics Chapters written by many internationally renowned experts Some Chapters provide completely new methodologies and analyses Includes some new data and methods of analyzing them
“Doubly truncated data appear in a number of applications, including astronomy and survival analysis. In this paper we review the existing methods to ...
Issues in Statistics, Decision Making, and Stochastics: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Statistics, Decision Making, and Stochastics. The editors have built Issues in Statistics, Decision Making, and Stochastics: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Statistics, Decision Making, and Stochastics 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 Statistics, Decision Making, and Stochastics: 2011 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/.
These include the analysis of interval-censored data with missing covariates and/or truncation and the analysis of mixed intervalcensored data .
Author: Shein-Chung Chow
Publisher: CRC Press
Since the publication of the first edition in 2000, there has been an explosive growth of literature in biopharmaceutical research and development of new medicines. This encyclopedia (1) provides a comprehensive and unified presentation of designs and analyses used at different stages of the drug development process, (2) gives a well-balanced summary of current regulatory requirements, and (3) describes recently developed statistical methods in the pharmaceutical sciences. Features of the Fourth Edition: 1. 78 new and revised entries have been added for a total of 308 chapters and a fourth volume has been added to encompass the increased number of chapters. 2. Revised and updated entries reflect changes and recent developments in regulatory requirements for the drug review/approval process and statistical designs and methodologies. 3. Additional topics include multiple-stage adaptive trial design in clinical research, translational medicine, design and analysis of biosimilar drug development, big data analytics, and real world evidence for clinical research and development. 4. A table of contents organized by stages of biopharmaceutical development provides easy access to relevant topics. About the Editor: Shein-Chung Chow, Ph.D. is currently an Associate Director, Office of Biostatistics, U.S. Food and Drug Administration (FDA). Dr. Chow is an Adjunct Professor at Duke University School of Medicine, as well as Adjunct Professor at Duke-NUS, Singapore and North Carolina State University. Dr. Chow is the Editor-in-Chief of the Journal of Biopharmaceutical Statistics and the Chapman & Hall/CRC Biostatistics Book Series and the author of 28 books and over 300 methodology papers. He was elected Fellow of the American Statistical Association in 1995.
Sun, J. (2002), Statistical analysis of doubly interval-censored failure time data, Handbook of Statistics: Survival Analysis, Balakrishnan, N. and Rao, ...
Author: John P. Klein
Publisher: CRC Press
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians
Linear regression modeling of interval-censored survival times based on a convex ... Statistical analysis of doubly interval-censored failure time data.
Author: Walter R. Young
Publisher: CRC Press
Since 1945, "The Annual Deming Conference on Applied Statistics" has been an important event in the statistics profession. In Clinical Trial Biostatistics and Biopharmaceutical Applications, prominent speakers from past Deming conferences present novel biostatistical methodologies in clinical trials as well as up-to-date biostatistical applications
“Doubly truncated data are often encountered in the analysis of survival times ... Moreira and colleagues published their study in Statistics In Medicine (A ...
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/.
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 root causes for warranty cost reduction, and explores issues associated with warranty data and the approaches to overcome them. The first part of the book presents an introduction to reliability analysis and prediction using warranty data and highlights the issues involved. The second section offers strategies and methods for obtaining component-level nonparametric hazard rate estimates that provide important clues toward probable root causes and that help reduce warranty costs. Focusing on the prediction of warranty performance, the final part deals with methodologies that assess the impact of changes in warranty limits and forecast warranty performance. This user-friendly book shows how warranty data can support various levels of decision making to achieve reliable outcomes. Easily understood even for those with minimal statistical background, it includes objectives and summaries in each chapter to enable quick review of the topics.
Bandwidth selection for kernel density estimation with doubly truncated data. Computational Statistics & Data Analysis, 61, 107–123. doi:10.1016/j.
Author: Wang, John
Publisher: IGI Global
Category: Business & Economics
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
For details on the properties and estimation of parameters of truncated distributions, and their applications to the statistical analysis of truncated data, ...
Author: Mohammad Ahsanullah
Publisher: Springer Science & Business Media
The most important properties of normal and Student t-distributions are presented. A number of applications of these properties are demonstrated. New related results dealing with the distributions of the sum, product and ratio of the independent normal and Student distributions are presented. The materials will be useful to the advanced undergraduate and graduate students and practitioners in the various fields of science and engineering.
Leroux , B. G. ( 1992 ) , “ Consistent Estimation of a Mixing Distribution , ” The
Annals of Statistics , 20 , 1350-1360 . ... Detection of Two Component Mixtures of
Lognormal Distributions in Grouped Doubly - Truncated Data : Analysis of Red ...
Empirical estimation of a distribution function with truncated and doubly interval-censored data and its application to aids studies.
Author: Harry Yang
Publisher: CRC Press
Develop Effective Immunogenicity Risk Mitigation StrategiesImmunogenicity assessment is a prerequisite for the successful development of biopharmaceuticals, including safety and efficacy evaluation. Using advanced statistical methods in the study design and analysis stages is therefore essential to immunogenicity risk assessment and mitigation stra
An additive multiplicative Cox–Aalen regression model. Scandinavian Journal of Statistics 29, ... Regression analysis of doubly censored failure time data ...
This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant. · Contributors are internationally renowned experts in their respective areas · Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research · Methods for assessing Biomarkers, analysis of competing risks · Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs · Structural equations modelling and longitudinal data analysis
For left hand truncation , the range of restricted random variable X , is T , = ( x : x >
k ) C R . Definition 3 . A distribution is said to be doubly truncated if the
observations on xck , and x > k2 are unobservable . That is , the range of