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Author : Yu Cheng
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (89 download)
Download or read book Association Analysis of Multi-variate Competing Risks Data written by Yu Cheng and published by . This book was released on 2006 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Martin J. Crowder
Publisher : CRC Press
ISBN 13 : 1439875227
Total Pages : 402 pages
Book Rating : 4.4/5 (398 download)
Download or read book Multivariate Survival Analysis and Competing Risks written by Martin J. Crowder and published by CRC Press. This book was released on 2012-04-17 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate
Author : University of Guelph. Dept. of Philosophy
Publisher :
ISBN 13 :
Total Pages : 210 pages
Book Rating : 4.:/5 (18 download)
Download or read book Analysis of Multivariate Failure-time Data in the Presence of Competing Risks written by University of Guelph. Dept. of Philosophy and published by . This book was released on 2009 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Martin J. Crowder
Publisher : CRC Press
ISBN 13 : 1439875219
Total Pages : 420 pages
Book Rating : 4.4/5 (398 download)
Download or read book Multivariate Survival Analysis and Competing Risks written by Martin J. Crowder and published by CRC Press. This book was released on 2012-04-17 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.
Author : Jeevanantham Rajeswaran
Publisher :
ISBN 13 :
Total Pages : 170 pages
Book Rating : 4.:/5 (115 download)
Download or read book Joint Modeling of Multivariate Longitudinal Data and Competing Risks Data written by Jeevanantham Rajeswaran and published by . This book was released on 2013 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many clinical studies that involve follow-up, it is common to observe one or more sequences of longitudinal measurements, as well as one or more time to event outcomes. A competing risks situation arises when the probability of occurrence of one event is altered/hindered by another time to event. A classical example is different causes of death. When the missing data mechanism in the longitudinal process is non-ignorable due to informative dropout, one has to jointly model the longitudinal data and the time to event outcomes in order to obtain valid inferences. Recently, there has been much attention paid to the joint analysis of single longitudinal measurements and single time to event data. A natural extension in the joint modeling literature is to the case which involves a joint analysis of multiple failure types and longitudinal process(es). However, to the best of our knowledge only a few such extensions currently exist in the literature. We, in this thesis, propose one such extension where multiple longitudinal responses are jointly modeled with competing-risks time to event data (multiple failure types). Our joint model consists of two sub-models: a system of non-linear mixed effects sub-models for the multiple longitudinal responses; and a system of cause-specific hazards frailty submodels for competing risks, with associations among multiple longitudinal responses and multiple failure types (competing risks) are modeled using latent parameters. That is, we use the shared parameter modeling approach in this joint model. The joint model is applied to a data set of patients with end-stage heart failure awaiting heart transplant. Heart failure occurs when heart loses the ability to pump enough blood through the body. Currently, most of the patients with end-stage heart failure who are eligible for heart transplant are inserted with a mechanical circulatory support (MCS) devices (such as left ventricular assists devices) to support the failing heart while waiting for heart transplant. While on the MCS, their liver and renal functions may worsen and these in turn may influence one of the two possible outcomes: i. death before transplant; ii.transplant. These two events can be considered as competing risks. We use longitudinal measurements of bilirubin as a marker for liver function and longitudinal measurements of GFR as a marker for renal function. By using our joint model we assess the effect(association) of liver and renal function on the competing risks.
Author : Philip Hougaard
Publisher : Springer Science & Business Media
ISBN 13 : 9780387988733
Total Pages : 564 pages
Book Rating : 4.9/5 (887 download)
Download or read book Analysis of Multivariate Survival Data written by Philip Hougaard and published by Springer Science & Business Media. This book was released on 2000-01-01 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail. Four different approaches to the analysis of such data are presented from an applied point of view.
Author : Jahar Bikram Choudhury
Publisher :
ISBN 13 :
Total Pages : 179 pages
Book Rating : 4.:/5 (224 download)
Download or read book Competing Risks Models for the Analysis of Multivariate Failure-time Data written by Jahar Bikram Choudhury and published by . This book was released on 2003 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Melania Pintilie
Publisher : John Wiley & Sons
ISBN 13 : 0470870699
Total Pages : 240 pages
Book Rating : 4.4/5 (78 download)
Download or read book Competing Risks written by Melania Pintilie and published by John Wiley & Sons. This book was released on 2006-11-02 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need to understand, interpret and analyse competing risk data is key to many areas of science, particularly medical research. There is a real need for a book that presents an overview of methodology used in the interpretation and analysis of competing risks, with a focus on practical applications to medical problems, and incorporating modern techniques. This book fills that need by presenting the most up-to-date methodology, in a way that can be readily understood, and applied, by the practitioner.
Download or read book On cross-odds ratio for multivariate competing risks data written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jan Beyersmann
Publisher : Springer Science & Business Media
ISBN 13 : 1461420350
Total Pages : 249 pages
Book Rating : 4.4/5 (614 download)
Download or read book Competing Risks and Multistate Models with R written by Jan Beyersmann and published by Springer Science & Business Media. This book was released on 2011-11-18 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
Author : Thomas H. Scheike
Publisher :
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.:/5 (768 download)
Download or read book On Cross-odds Ratio for Multivariate Competing Risks Data written by Thomas H. Scheike and published by . This book was released on 2011 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John P. Klein
Publisher : CRC Press
ISBN 13 : 146655567X
Total Pages : 635 pages
Book Rating : 4.4/5 (665 download)
Download or read book Handbook of Survival Analysis written by John P. Klein and published by CRC Press. This book was released on 2016-04-19 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Thomas H. Scheike
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (872 download)
Download or read book Research Reports written by Thomas H. Scheike and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ross L. Prentice
Publisher : CRC Press
ISBN 13 : 0429529708
Total Pages : 110 pages
Book Rating : 4.4/5 (295 download)
Download or read book The Statistical Analysis of Multivariate Failure Time Data written by Ross L. Prentice and published by CRC Press. This book was released on 2019-05-14 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text. Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women’s Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice. Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine. Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.
Author : Ruth M. Pfeiffer
Publisher : CRC Press
ISBN 13 : 1466561688
Total Pages : 201 pages
Book Rating : 4.4/5 (665 download)
Download or read book Absolute Risk written by Ruth M. Pfeiffer and published by CRC Press. This book was released on 2017-08-10 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory and examples to demonstrate the importance of absolute risk in counseling patients, devising public health strategies, and clinical management. The book provides sufficient technical detail to allow statisticians, epidemiologists, and clinicians to build, test, and apply models of absolute risk. Features: Provides theoretical basis for modeling absolute risk, including competing risks and cause-specific and cumulative incidence regression Discusses various sampling designs for estimating absolute risk and criteria to evaluate models Provides details on statistical inference for the various sampling designs Discusses criteria for evaluating risk models and comparing risk models, including both general criteria and problem-specific expected losses in well-defined clinical and public health applications Describes many applications encompassing both disease prevention and prognosis, and ranging from counseling individual patients, to clinical decision making, to assessing the impact of risk-based public health strategies Discusses model updating, family-based designs, dynamic projections, and other topics Ruth M. Pfeiffer is a mathematical statistician and Fellow of the American Statistical Association, with interests in risk modeling, dimension reduction, and applications in epidemiology. She developed absolute risk models for breast cancer, colon cancer, melanoma, and second primary thyroid cancer following a childhood cancer diagnosis. Mitchell H. Gail developed the widely used "Gail model" for projecting the absolute risk of invasive breast cancer. He is a medical statistician with interests in statistical methods and applications in epidemiology and molecular medicine. He is a member of the National Academy of Medicine and former President of the American Statistical Association. Both are Senior Investigators in the Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health.
Author : Debasis Kundu
Publisher :
ISBN 13 :
Total Pages : 25 pages
Book Rating : 4.:/5 (452 download)
Download or read book Analysis of Incomplete Data in Presence of Competing Risks written by Debasis Kundu and published by . This book was released on 1998 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: In medical studies or in reliability analysis an investigator is often interested with the assessment of a specific risk in presence of other risk factors. In the Statistical literature it is known as the analysis of competing risks model. The competing risks model assumes that the data consists of a failure time and an indicator denoting the cause of failure. Several studies have been carried out under this assumption for parametric and nonparametric set up. Unfortunately in many situations, the causes of failure are not observed, even if the failure time is observed. Miyawaka (1984) obtained some of the results under the assumption that the failure time distribution is exponential. He obtained the maximum likelihood estimators and the minimum variance unbiased estimators of the unknown parameters. We provide the approximate and asymptotic properties of these estimators. Using the approximate and the asymptotic distributions we obtain confidence bounds of the parameters and also propose two different bootstrap confidence bounds. We consider the case when the failure distribution may not be exponential and use one data set to see how different methods work in real life situations.
Author : Thomas H. Scheike
Publisher :
ISBN 13 :
Total Pages : 29 pages
Book Rating : 4.:/5 (488 download)
Download or read book A Semiparametric Random Effects Model for Multivariate Competing Risks Data written by Thomas H. Scheike and published by . This book was released on 2009 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
