Multistate Models for the Analysis of Life History Data

Author: Richard J Cook,Jerald F. Lawless

Publisher: CRC Press

ISBN: 1351646052

Category: Mathematics

Page: 440

View: 5573

Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. Features Discusses a wide range of applications of multistate models Presents methods for both continuously and intermittently observed life history processes Gives a thorough discussion of conditionally independent censoring and observation processes Discusses models with random effects and joint models for two or more multistate processes Discusses and illustrates software for multistate analysis that is available in R Target audience includes those engaged in research and applications involving multistate models Richard Cook is Canada Research Chair in Statistical Methods for Health Research at the University of Waterloo. He has received the Gold Medal of the Statistical Society of Canada and is a Fellow of the American Statistical Association. He collaborates and consults widely on health research and has given many short courses. He and Dr. Lawless previously coauthored the influential book, The Statistical Analysis of Recurrent Events (Springer, 2007). Jerald Lawless is Distinguished Professor Emeritus at the University of Waterloo. He is a Fellow of the Royal Society of Canada, a Gold Medal recipient of the Statistical Society of Canada and Fellow of the American Statistical Association. He is a past editor of Technometrics and has collaborated and consulted in numerous areas. He has presented many short courses, with Dr. Cook and individually. "The authors of the book are internationally renowned experts in the field of multi-state modeling and have written an extremely clear and comprehensive book on the topic that covers many different aspects, from the fundamental theory to the practical side of analyzing data and interpreting results. The examples are well chosen to represent the most common types of multi-state processes that public health researchers could encounter. The inclusion of software code to illustrate how the models can be fit and interpreted is especially helpful to readers." (Mimi Kim, Albert Einstein College of Medicine)

Multistate Analysis of Life Histories with R

Author: Frans Willekens

Publisher: Springer

ISBN: 331908383X

Category: Mathematics

Page: 308

View: 8527

This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is considered and the time-to-event is studied. Multistate models focus on life histories or trajectories, conceptualized as sequences of states and sequences of transitions between states. Life histories are modeled as realizations of continuous-time Markov processes. The model parameters, transition rates, are estimated from data on event counts and populations at risk, using the statistical theory of counting processes. The Comprehensive R Network Archive (CRAN) includes several packages for multistate modeling. This book is about Biograph. The package is designed to (a) enhance exploratory analysis of life histories and (b) make multistate modeling accessible. The package incorporates utilities that connect to several packages for multistate modeling, including survival, eha, Epi, mvna,, mstate, msm, and TraMineR for sequence analysis. The book is a ‘hands-on’ presentation of Biograph and the packages listed. It is written from the perspective of the user. To help the user master the techniques and the software, a single data set is used to illustrate the methods and software. It is the subsample of the German Life History Survey, which was also used by Blossfeld and Rohwer in their popular textbook on event history modeling. Another data set, the Netherlands Family and Fertility Survey, is used to illustrate how Biograph can assist in answering questions on life paths of cohorts and individuals. The book is suitable as a textbook for graduate courses on event history analysis and introductory courses on competing risks and multistate models. It may also be used as a self-study book. The R code used in the book is available online. Frans Willekens is affiliated with the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. He is Emeritus Professor of Demography at the University of Groningen, a Honorary Fellow of the Netherlands Interdisciplinary Demographic Institute (NIDI) in the Hague, and a Research Associate of the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria. He is a member of Royal Netherlands Academy of Arts and Sciences (KNAW). He has contributed to the modeling and simulation of life histories, mainly in the context of population forecasting.

Analysis of Multivariate Survival Data

Author: Philip Hougaard

Publisher: Springer Science & Business Media

ISBN: 1461213045

Category: Mathematics

Page: 542

View: 3595

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.

The Advanced Handbook of Methods in Evidence Based Healthcare

Author: Andrew Stevens,Keith Abrams,John Brazier,Ray Fitzpatrick,Richard Lilford

Publisher: SAGE

ISBN: 1847876757

Category: Medical

Page: 544

View: 1422

'This handbook is an excellent reflection of the growing maturity and methodological sophistication of the field of Health Technology Assessment. The Handbook covers a spectrum of issues, from primary evidence (clinical trials) through reviews and meta-analysis, to identifying and filling gaps in the evidence. Up-to-date, clearly written, and well-edited, the handbook is a needed addition to any personal or professional library dealing with Health Technology Assessment.' Professor David Banta, TNO Prevention and Health, The Netherlands 'This text presents the most advanced knowledge on methodology in health care research, and will form the backbone of many future studies' - Paula Roberts, Nurse Researcher The `effectiveness revolution' both in research and clinical practice, has tested available methods for health services research to the extreme. How far can observational methods, routine data and qualitative methods be used in health care evaluation? What cost and outcome measures are appropriate, and how should data be gathered? With the support of over two million pounds from the British Health Technology Assessment Research Programme, the research project for this Handbook has led to both a synthesis of all of the existing knowledge in these areas and an agenda for future debate and research. The chapters and their authors have been selected through a careful process of peer review and provide a coherent and complete approach to the field. The handbook has been a unique collaboration between internationally regarded clinicians, statisticians, epidemiologists, social scientists, health economists and ethicists. It provides the most advanced thinking and the most authoritative resource for a state of the art review of methods of evaluating health care and will be required reading for anyone involved in health services research and management.

Introducing Survival and Event History Analysis

Author: Melinda Mills

Publisher: SAGE

ISBN: 1848601026

Category: Social Science

Page: 279

View: 3229

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.

Advances in Statistical Methods for the Health Sciences

Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis

Author: Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs

Publisher: Springer Science & Business Media

ISBN: 9780817645427

Category: Mathematics

Page: 540

View: 9413

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.

The Statistical Analysis of Failure Time Data

Author: John D. Kalbfleisch,Ross L. Prentice

Publisher: John Wiley & Sons

ISBN: 1118031237

Category: Mathematics

Page: 462

View: 7572

Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns. Introduces the martingale and counting process formulation swillbe in a new chapter. Develops multivariate failure time data in a separate chapterand extends the material on Markov and semi Markovformulations. Presents new examples and applications of data analysis.

Household Demography and Household Modeling

Author: Evert van Imhoff,Anton Kuijsten,Pieter Hooimeijer,Leo J.G. van Wissen

Publisher: Springer Science & Business Media

ISBN: 1475754248

Category: Social Science

Page: 369

View: 6195

In 1992, a summer course 'Demographic Perspectives on Living Arrangements' as well as a one-day workshop 'Recent Issues in Household Modelling' were held in Wassenaar, The Netherlands. This volume is based on the lectures delivered during the summer course, as well as on the presentations made in the workshop. As such, the present volume combines the two elements of transfer of knowledge, on the one hand, and updating the state-of-the-art in the field of household demography, especially in household modelling, on the other hand. In organizing the contents and structure of this volume, we have aimed at creating a book that covers the field of household demography and household modelling in a certain logical and comprehensive way. The purpose of this book is to offer a comprehensive treatment of recent developments in various aspects of the growing field of household demography. Since these recent developments have particularly occurred in household analysis and modelling, these topics will receive special emphasis. The book was written for demographers, social scientists, and planners who are involved in the study and projection of popUlation in general, and of households in particular.

Advanced Techniques of Population Analysis

Author: S.S. Halli,K.V. Rao

Publisher: Springer Science & Business Media

ISBN: 9780306439971

Category: Business & Economics

Page: 226

View: 7195

Utilizing the most recent developments in statistical modeling as applied to population studies, the authors interpret results obtained from available software and apply these results to current research issues.

Event History Analysis

Statistical theory and Application in the Social Sciences

Author: Hans-Peter Blossfeld,Alfred Hamerle,Karl Ulrich Mayer

Publisher: Psychology Press

ISBN: 131778572X

Category: Psychology

Page: 298

View: 1992

Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.

Addressing the Nation's Changing Needs for Biomedical and Behavioral Scientists

Author: National Research Council,Policy and Global Affairs,Board on Higher Education and Workforce,Education and Career Studies Unit,Committee on National Needs for Biomedical and Behavioral Scientists

Publisher: National Academies Press

ISBN: 0309069815

Category: Medical

Page: 132

View: 2620

As biomedical and behavioral research progresses into new areas, the number of scientists active in various fields rises and falls, and the health needs of the U.S. population evolve, it is important to ensure that the preparation of future investigators reflects these changes. This book addresses these topics by considering questions such as the following: What is the current supply of biomedical and behavioral scientists? How is future demand for scientists likely to be affected by factors such as advances in research, trends in the employment of scientists, future research funding, and changes in health care delivery? What are the best ways to prepare prospective investigators to meet future needs in scientific research? In the course of addressing these questions, this volume examines the number of investigators trained every year, patterns of hiring by universities and industry, and the age of the scientific workforce in different fields, and makes recommendations for the number of scientists that should be trained in the years ahead. This book also considers the diversity of the research workforce and the importance of providing prospective scientists with the skills to successfully collaborate with investigators in related fields, and offers suggestions for how government and universities should structure their research training programs differently in the future.

Handbook of Survival Analysis

Author: John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike

Publisher: CRC Press

ISBN: 146655567X

Category: Mathematics

Page: 656

View: 2238

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

Handbook of Capture-Recapture Analysis

Author: Steven C. Amstrup,Trent L. McDonald,Bryan F. J. Manly

Publisher: Princeton University Press

ISBN: 9781400837717

Category: Science

Page: 336

View: 6341

Every day, biologists in parkas, raincoats, and rubber boots go into the field to capture and mark a variety of animal species. Back in the office, statisticians create analytical models for the field biologists' data. But many times, representatives of the two professions do not fully understand one another's roles. This book bridges this gap by helping biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. In so doing, statisticians will also become more familiar with the design of field studies and with the real-life issues facing biologists. Reliable outcomes of capture-recapture studies are vital to answering key ecological questions. Is the population increasing or decreasing? Do more or fewer animals have a particular characteristic? In answering these questions, biologists cannot hope to capture and mark entire populations. And frequently, the populations change unpredictably during a study. Thus, increasingly sophisticated models have been employed to convert data into answers to ecological questions. This book, by experts in capture-recapture analysis, introduces the most up-to-date methods for data analysis while explaining the theory behind those methods. Thorough, concise, and portable, it will be immensely useful to biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process.

Survival Analysis

Models and Applications

Author: Xian Liu

Publisher: John Wiley & Sons

ISBN: 1118307674

Category: Mathematics

Page: 427

View: 4527

Survival analysis concerns sequential occurrences of eventsgoverned by probabilistic laws. Recent decades have witnessedmany applications of survival analysis in various disciplines. Thisbook introduces both classic survival models and theories alongwith newly developed techniques. Readers will learn how to performanalysis of survival data by following numerous empiricalillustrations in SAS. Survival Analysis: Models andApplications: Presents basic techniques before leading onto some of the mostadvanced topics in survival analysis. Assumes only a minimal knowledge of SAS whilst enabling moreexperienced users to learn new techniques of data inputand manipulation. Provides numerous examples of SAS code to illustrate each ofthe methods, along with step-by-step instructions to perform eachtechnique. Highlights the strengths and limitations of each techniquecovered. Covering a wide scope of survival techniques and methods, fromthe introductory to the advanced, this book can be used as a usefulreference book for planners, researchers, and professors who areworking in settings involving various lifetime events. Scientists interested in survival analysis should find it a usefulguidebook for the incorporation of survival data and methods intotheir projects.

Safety and Reliability: Methodology and Applications

Author: Tomasz Nowakowski,Marek Młyńczak,Anna Jodejko-Pietruczuk,Sylwia Werbińska-Wojciechowska

Publisher: CRC Press

ISBN: 1315736977

Category: Technology & Engineering

Page: 408

View: 6320

Within the last fifty years the performance requirements for technical objects and systems were supplemented with: customer expectations (quality), abilities to prevent the loss of the object properties in operation time (reliability and maintainability), protection against the effects of undesirable events (safety and security) and the ability to restore performance (resilience). The need to adapt the operation of complex systems in such an uncertain and volatile environment has caused the necessity to formulate new and well established achievements associated with modeling, testing and evaluation of these properties. The concept of a complex system applies not only to the technical ones but also the infrastructure of major importance for social life such as transportation and logistics systems, buildings, power systems, water distribution systems or health services. Safety and Reliability: Methodology and Applications contains the proceedings of the 24th European Safety and Reliability Conference (ESREL 2014, Wroclaw, Poland, 14-18 September 2014), and discusses theories and methods and their applications in the areas of risk, safety and reliability. The abstracts book (408 pages) + full paper CD-ROM (2496 pages) will be of interest to researchers and practitioners, academics and engineers working in academic, industrial and governmental sectors.