Statistical Analysis of Interval censored and Truncated Survival Data

Statistical Analysis of Interval censored and Truncated Survival Data

Data from clinical trials and epidemiological studies are often incomplete due to interval censoring and truncation.

Author: Hee-Jeong Lim

Publisher:

ISBN: OCLC:49632193

Category: Survival analysis (Biometry)

Page: 232

View: 816

Data from clinical trials and epidemiological studies are often incomplete due to interval censoring and truncation. In this thesis, we will discuss the statistical analysis of survival data with interval-censoring and truncation. First, we consider the problem of comparing two failure time distributions based on interval-censored data. We propose three classes of nonparametric test procedures, which include most existing methods as special cases. To evaluate and compare the proposed and existing tests and to draw a guideline for selecting an appropriate test for a given situation, an extensive simulation study is conducted. Secondly, we consider the problem of estimating a survival function when there exists a change point. To obtain the maximum likelihood estimator of a survival function in this case, an EM algorithm is developed when the survival function is completely unknown before the change point and known up to a vector of unknown parameters after the change point. We evaluate the performance of the proposed algorithm and illustrate it using a set of survival data arising from an AIDS study. Thirdly, we consider a regression analysis of survival data with interval-censored covariates. To estimate regression parameters, methods based on estimating equations are developed. An extensive simulation study is performed to evaluate the proposed method.
Categories: Survival analysis (Biometry)

Survival Analysis

Survival Analysis

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: John P. Klein

Publisher: Springer Science & Business Media

ISBN: 9781475727289

Category: Medical

Page: 502

View: 927

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.
Categories: Medical

Survival Analysis with Interval Censored Data

Survival Analysis with Interval Censored Data

Statistics & Probability Letters, 8, 179–184. Joly, P., Commenges, D., and Letenneur, L. (1998). A penalized likelihood approach for arbitrarily censored and truncated data: Application to age-specific incidence of dementia.

Author: Kris Bogaerts

Publisher: CRC Press

ISBN: 9781420077483

Category: Mathematics

Page: 584

View: 307

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features: -Provides an overview of frequentist as well as Bayesian methods. -Include a focus on practical aspects and applications. -Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website. The authors: Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal. Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics, and fellow of ISI and ASA.
Categories: Mathematics

The Statistical Analysis of Interval censored Failure Time Data

The Statistical Analysis of Interval censored Failure Time Data

Partial residuals for the proportional hazards regression model. Biometrika, 69, 239-241. Self, S. G. and Grossman, E. A. (1986). Linear rank tests for interval-censored data with application to PCB levels in adipose tissue of ...

Author: Jianguo Sun

Publisher: Springer

ISBN: 0387371192

Category: Mathematics

Page: 304

View: 545

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.
Categories: Mathematics

Statistical Models and Methods for Lifetime Data

Statistical Models and Methods for Lifetime Data

This book provides a unified treatment of the models and statistical methods used to analyze lifetime data.

Author: Jerald F. Lawless

Publisher: John Wiley & Sons

ISBN: 9781118031254

Category: Mathematics

Page: 664

View: 816

Praise for the First Edition "An indispensable addition to any serious collection on lifetimedata analysis and . . . a valuable contribution to the statisticalliterature. Highly recommended . . ." -Choice "This is an important book, which will appeal to statisticiansworking on survival analysis problems." -Biometrics "A thorough, unified treatment of statistical models and methodsused in the analysis of lifetime data . . . this is a highlycompetent and agreeable statistical textbook." -Statistics in Medicine The statistical analysis of lifetime or response time data is a keytool in engineering, medicine, and many other scientific andtechnological areas. This book provides a unified treatment of themodels and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in theanalysis of lifetime data and as a text for advanced students,Statistical Models and Methods for Lifetime Data, Second Editionprovides broad coverage of the area without concentrating on anysingle field of application. Extensive illustrations and examplesdrawn from engineering and the biomedical sciences provide readerswith a clear understanding of key concepts. New and expanded coverage in this edition includes: * Observation schemes for lifetime data * Multiple failure modes * Counting process-martingale tools * Both special lifetime data and general optimizationsoftware * Mixture models * Treatment of interval-censored and truncated data * Multivariate lifetimes and event history models * Resampling and simulation methodology
Categories: Mathematics

Interval Censored Time to Event Data

Interval Censored Time to Event Data

The Statistical Analysis of Interval-Censored Failure Time Data. New York: Springer. ... Journal of the American Statistical Association 88, 1449–1454. ... The empirical distribution with arbitrarily grouped censored and truncated data.

Author: Ding-Geng (Din) Chen

Publisher: CRC Press

ISBN: 9781466504257

Category: Mathematics

Page: 434

View: 861

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research. Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications. They also present adaptive decision making methods to optimize the rapid treatment of stroke, explore practical issues in using weighted logrank tests, and describe how to use two R packages. A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. It shows how up-to-date statistical methods are used in biopharmaceutical and public health applications.
Categories: Mathematics

Handbook of Survival Analysis

Handbook of Survival Analysis

Oller, R. and Gómez, G. (2012), 'A generalized Fleming and Harrington's class of tests for interval-censored data', Canadian Journal of Statistics 40, 1–16. Oller, R., Gómez, G. and Calle, M. (2007), 'Interval censoring: identifiability ...

Author: John P. Klein

Publisher: CRC Press

ISBN: 9781466555679

Category: Mathematics

Page: 656

View: 730

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
Categories: Mathematics

Encyclopedia of Biopharmaceutical Statistics Four Volume Set

Encyclopedia of Biopharmaceutical Statistics   Four Volume Set

These include the analysis of interval-censored data with missing covariates and/or truncation and the analysis of ... of Statistics: Advances in Survival Analysis; Balakrishnan, N ., Rao, C .R ., Eds .; Elsevier B . V .: Amsterdam, ...

Author: Shein-Chung Chow

Publisher: CRC Press

ISBN: 9781351110266

Category: Medical

Page: 2780

View: 148

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.
Categories: Medical

Clinical Trial Biostatistics and Biopharmaceutical Applications

Clinical Trial Biostatistics and Biopharmaceutical Applications

Linear regression modeling of interval-censored survival times based on a convex piecewise-linear criterion function. ... Nonparametric and semiparametric analysis of current status data subject to outcome misclassification. Statistical ...

Author: Walter R. Young

Publisher: CRC Press

ISBN: 9781482212198

Category: Mathematics

Page: 580

View: 840

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
Categories: Mathematics

Encyclopedia of Quantitative Risk Analysis and Assessment

Encyclopedia of Quantitative Risk Analysis and Assessment

Sometimes, a study may involve several response variables and all of them suffer censoring, either of the same type ... Statistical analysis of doubly interval- censored failure time data, in Handbook of Statistics: Survival Analysis, ...

Author:

Publisher: John Wiley & Sons

ISBN: 9780470035498

Category: Mathematics

Page: 2176

View: 807

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.
Categories: Mathematics

The Statistical Analysis of Functional MRI Data

The Statistical Analysis of Functional MRI Data

Statistics. for. Biology. and. Health. Bacchieri/Cioppa: Fundamentals of Clinical Research Borchers/Buckland/Zucchini: Estimating Animal ... Klein/Moeschberger: Survival Analysis: Techniques for Censored and Truncated Data, 2nd ed.

Author: Nicole Lazar

Publisher: Springer Science & Business Media

ISBN: 9780387781914

Category: Medical

Page: 299

View: 295

The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”).
Categories: Medical

Statistical Models and Methods for Biomedical and Technical Systems

Statistical Models and Methods for Biomedical and Technical Systems

This book deals with the mathematical aspects of survival analysis and reliability as well as other topics, reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and ...

Author: Filia Vonta

Publisher: Springer Science & Business Media

ISBN: 0817646191

Category: Medical

Page: 556

View: 898

This book deals with the mathematical aspects of survival analysis and reliability as well as other topics, reflecting recent developments in the following areas: applications in epidemiology; probabilistic and statistical models and methods in reliability; models and methods in survival analysis, longevity, aging, and degradation; accelerated life models; quality of life; new statistical challenges in genomics. The work will be useful to a broad interdisciplinary readership of researchers and practitioners in applied probability and statistics, industrial statistics, biomedicine, biostatistics, and engineering.
Categories: Medical

The Statistical Analysis of Recurrent Events

The Statistical Analysis of Recurrent Events

Statistics. for. Biology. and. Health. Bacchieri/Cioppa: Fundamentals of Clinical Research Borchers/Buckland/Zucchini: Estimating Animal ... Klein/Moeschberger: Survival Analysis: Techniques for Censored and Truncated Data, 2nd ed.

Author: Richard J. Cook

Publisher: Springer Science & Business Media

ISBN: 9780387698090

Category: Medical

Page: 404

View: 964

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage of the major approaches to analysis, while emphasizing the modeling assumptions that they are based on. More general intensity-based models are also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are all covered, with procedures for estimation, testing and model checking.
Categories: Medical

Advances in Statistical Methods for the Health Sciences

Advances in Statistical Methods for the Health Sciences

Nonparametric test for doubly interval-censored failure time data, Lifetime Data Analysis, 7, 363–375. Sun, J. (2001b). Variance estimation of a survival function for intervalcensored survival data, Statistics in Medicine, 20, ...

Author: Jean-Louis Auget

Publisher: Springer Science & Business Media

ISBN: 081764542X

Category: Mathematics

Page: 540

View: 528

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.
Categories: Mathematics

Survival and Event History Analysis

Survival and Event History Analysis

Statistics. for. Biology. and. Health. Aalen/Borgan/Gjessing: Survival and Event History Analysis: A Process Point of View Bacchieri/Cioppa: ... Klein/Moeschberger: Survival Analysis: Techniques for Censored and Truncated Data, 2nd ed.

Author: Odd Aalen

Publisher: Springer Science & Business Media

ISBN: 9780387685601

Category: Mathematics

Page: 540

View: 386

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data. The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.
Categories: Mathematics

Handbook of Statistical Methods for Randomized Controlled Trials

Handbook of Statistical Methods for Randomized Controlled Trials

Survival analysis. Springer, 1996. [34] Jane C Lindsey and Louise M Ryan. Methods for interval-censored data. Statistics in medicine, 17(2):219–238, 1998. [35] Melinda Mills. Introducing survival and event history analysis ...

Author: KyungMann Kim

Publisher: CRC Press

ISBN: 9781498714648

Category: Mathematics

Page: 654

View: 654

Statistical concepts provide scientific framework in experimental studies, including randomized controlled trials. In order to design, monitor, analyze and draw conclusions scientifically from such clinical trials, clinical investigators and statisticians should have a firm grasp of the requisite statistical concepts. The Handbook of Statistical Methods for Randomized Controlled Trials presents these statistical concepts in a logical sequence from beginning to end and can be used as a textbook in a course or as a reference on statistical methods for randomized controlled trials. Part I provides a brief historical background on modern randomized controlled trials and introduces statistical concepts central to planning, monitoring and analysis of randomized controlled trials. Part II describes statistical methods for analysis of different types of outcomes and the associated statistical distributions used in testing the statistical hypotheses regarding the clinical questions. Part III describes some of the most used experimental designs for randomized controlled trials including the sample size estimation necessary in planning. Part IV describe statistical methods used in interim analysis for monitoring of efficacy and safety data. Part V describe important issues in statistical analyses such as multiple testing, subgroup analysis, competing risks and joint models for longitudinal markers and clinical outcomes. Part VI addresses selected miscellaneous topics in design and analysis including multiple assignment randomization trials, analysis of safety outcomes, non-inferiority trials, incorporating historical data, and validation of surrogate outcomes.
Categories: Mathematics

Statistical Genetics of Quantitative Traits

Statistical Genetics of Quantitative Traits

Klein/Moeschberger: Survival Analysis: Techniques for Censored and Truncated Data, 2nd ed. ... in the Manville Asbestos Case Sun: The Statistical Analysis of Interval-censored Failure Time Data Therneau/Grambsch: Modeling Survival Data: ...

Author: Rongling Wu

Publisher: Springer Science & Business Media

ISBN: 9780387681542

Category: Science

Page: 368

View: 817

This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping, and assumes a background in regression analysis and maximum likelihood approaches. The strength of this book lies in the construction of general models and algorithms for linkage analysis, as well as in QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops.
Categories: Science

Advances in Survival Analysis

Advances in Survival Analysis

Thus it would be useful to develop some regression methods that allow truncation. One way for this is to directly generalize ... Applying the Cox proportional hazards model for analysis of latency data with interval censoring. Statist.

Author: N. Balakrishnan

Publisher: Elsevier

ISBN: 9780080495118

Category: Mathematics

Page: 822

View: 607

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
Categories: Mathematics