Modeling Discrete Time-to-Event Data

Download Modeling Discrete Time-to-Event Data PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319281585
Total Pages : 247 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!


Book Synopsis Modeling Discrete Time-to-Event Data by : Gerhard Tutz

Download or read book Modeling Discrete Time-to-Event Data written by Gerhard Tutz and published by Springer. This book was released on 2016-06-14 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many techniques are designed for failure times that are measured on a continuous scale. In empirical studies, however, failure times are often discrete, either because they have been measured in intervals (e.g., quarterly or yearly) or because they have been rounded or grouped. The book covers well-established methods like life-table analysis and discrete hazard regression models, but also introduces state-of-the art techniques for model evaluation, nonparametric estimation and variable selection. Throughout, the methods are illustrated by real life applications, and relationships to survival analysis in continuous time are explained. Each section includes a set of exercises on the respective topics. Various functions and tools for the analysis of discrete survival data are collected in the R package discSurv that accompanies the book.

Introducing Survival and Event History Analysis

Download Introducing Survival and Event History Analysis PDF Online Free

Author :
Publisher : SAGE
ISBN 13 : 1848601018
Total Pages : 302 pages
Book Rating : 4.8/5 (486 download)

DOWNLOAD NOW!


Book Synopsis Introducing Survival and Event History Analysis by : Melinda Mills

Download or read book Introducing Survival and Event History Analysis written by Melinda Mills and published by SAGE. This book was released on 2011-01-19 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Design and Analysis of Clinical Trials with Time-to-Event Endpoints

Download Design and Analysis of Clinical Trials with Time-to-Event Endpoints PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1420066404
Total Pages : 616 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!


Book Synopsis Design and Analysis of Clinical Trials with Time-to-Event Endpoints by : Karl E. Peace

Download or read book Design and Analysis of Clinical Trials with Time-to-Event Endpoints written by Karl E. Peace and published by CRC Press. This book was released on 2009-04-23 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or "noninformativeness" of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest. After reviewing time-to-event endpoint methodology, clinical trial issues, and the design and monitoring of clinical trials, the book focuses on inferential analysis methods, including parametric, semiparametric, categorical, and Bayesian methods; an alternative to the Cox model for small samples; and estimation and testing for change in hazard. It then presents descriptive and graphical methods useful in the analysis of time-to-event endpoints. The next several chapters explore a variety of clinical trials, from analgesic, antibiotic, and antiviral trials to cardiovascular and cancer prevention, prostate cancer, astrocytoma brain tumor, and chronic myelogonous leukemia trials. The book then covers areas of drug development, medical practice, and safety assessment. It concludes with the design and analysis of clinical trials of animals required by the FDA for new drug applications. Drawing on the expert contributors’ experiences working in biomedical research and clinical drug development, this comprehensive resource covers an array of time-to-event methods and explores an assortment of real-world applications.

Introducing Survival and Event History Analysis

Download Introducing Survival and Event History Analysis PDF Online Free

Author :
Publisher : SAGE
ISBN 13 : 1848601026
Total Pages : 301 pages
Book Rating : 4.8/5 (486 download)

DOWNLOAD NOW!


Book Synopsis Introducing Survival and Event History Analysis by : Melinda Mills

Download or read book Introducing Survival and Event History Analysis written by Melinda Mills and published by SAGE. This book was released on 2011-01-19 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multilevel and Longitudinal Modeling Using Stata, Second Edition

Download Multilevel and Longitudinal Modeling Using Stata, Second Edition PDF Online Free

Author :
Publisher : Stata Press
ISBN 13 : 1597180408
Total Pages : 598 pages
Book Rating : 4.5/5 (971 download)

DOWNLOAD NOW!


Book Synopsis Multilevel and Longitudinal Modeling Using Stata, Second Edition by : Sophia Rabe-Hesketh

Download or read book Multilevel and Longitudinal Modeling Using Stata, Second Edition written by Sophia Rabe-Hesketh and published by Stata Press. This book was released on 2008-02-07 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook looks specifically at Stata’s treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.

Applied Panel Data Analysis for Economic and Social Surveys

Download Applied Panel Data Analysis for Economic and Social Surveys PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642329144
Total Pages : 338 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!


Book Synopsis Applied Panel Data Analysis for Economic and Social Surveys by : Hans-Jürgen Andreß

Download or read book Applied Panel Data Analysis for Economic and Social Surveys written by Hans-Jürgen Andreß and published by Springer Science & Business Media. This book was released on 2013-01-24 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. ​

Survival Analysis

Download Survival Analysis PDF Online Free

Author :
Publisher : Oxford University Press
ISBN 13 : 0195337514
Total Pages : 172 pages
Book Rating : 4.1/5 (953 download)

DOWNLOAD NOW!


Book Synopsis Survival Analysis by : Shenyang Guo

Download or read book Survival Analysis written by Shenyang Guo and published by Oxford University Press. This book was released on 2010-01-25 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Survival analysis is a class of statistical methods for studying the occurrence and timing of events. With clearly written summaries and plentiful examples, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before.

DAGStat 2022

Download DAGStat 2022 PDF Online Free

Author :
Publisher : Cuvillier Verlag
ISBN 13 : 3736965869
Total Pages : 192 pages
Book Rating : 4.7/5 (369 download)

DOWNLOAD NOW!


Book Synopsis DAGStat 2022 by : DAGStat (Deutsche Arbeitsgemeinschaft Statistik)

Download or read book DAGStat 2022 written by DAGStat (Deutsche Arbeitsgemeinschaft Statistik) and published by Cuvillier Verlag. This book was released on 2022-03-16 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Das Buch enthält die Abstracts der eingeladenen bzw. angenommenen Vorträge der 6. Konferenz der Deutschen Arbeitsgemeinschaft Statistik (DAGStat), welche vom 28. März bis 1. April 2022 am Universitätsklinikum Hamburg-Eppendorf (UKE) in Kooperation mit der Universität Hamburg sowie der Helmut-Schmidt-Universität stattfand. Die Konferenz stellte ebenfalls das 68. Biometrische Kolloquium der Deutschen Region der International Biometric Society (IBS-DR) dar, sowie die 45. Jahrestagung der Gesellschaft für Klassifikation (GfKl/Data Science Society). Die Vorträge behandelten dabei ein breites Spektrum sowohl angewandter als auch eher methodischer/theoretischer Themen aus dem Bereich Statistik und Data Science.

Event History Modeling

Download Event History Modeling PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521546737
Total Pages : 236 pages
Book Rating : 4.5/5 (467 download)

DOWNLOAD NOW!


Book Synopsis Event History Modeling by : Janet M. Box-Steffensmeier

Download or read book Event History Modeling written by Janet M. Box-Steffensmeier and published by Cambridge University Press. This book was released on 2004-03-29 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Event History and Survival Analysis

Download Event History and Survival Analysis PDF Online Free

Author :
Publisher :
ISBN 13 : 9781526421036
Total Pages : 0 pages
Book Rating : 4.4/5 (21 download)

DOWNLOAD NOW!


Book Synopsis Event History and Survival Analysis by : Silvia Avram

Download or read book Event History and Survival Analysis written by Silvia Avram and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This entry introduces event history and survival analysis, a set of methods adapted for data relating to the timing and occurrence of events. It starts with a review of the particularities of this type of data and the main concepts used to describe and model it. It then introduces two mathematical concepts that are the building blocks of survival analysis: the hazard rate and survivor functions. Next, it shows how these two concepts can be used to model time-to-event data. It reviews both discrete and continuous time models. Within continuous time models, three subclasses are discussed: proportional hazard models, accelerated failure time models, and the semiparametric Cox model. Finally, more complex topics such as unobserved heterogeneity, competing risks, and repeated events are briefly introduced.

Event History Analysis

Download Event History Analysis PDF Online Free

Author :
Publisher : SAGE Publications
ISBN 13 : 1452215650
Total Pages : 193 pages
Book Rating : 4.4/5 (522 download)

DOWNLOAD NOW!


Book Synopsis Event History Analysis by : Kazuo Yamaguchi

Download or read book Event History Analysis written by Kazuo Yamaguchi and published by SAGE Publications. This book was released on 1991-07-18 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a manner similar to many other titles within the Applied Social Research Methods Series, this 182-page book thoroughly covers many of the specific methodological hurdles encountered in implementing event history analysis (EHA). The Applied Social Research Methods Series′ . . . is the result of careful subject selection. . . . Consistent with the practical orientation of the book, each of the application sections provides useful insights into data structure problems and programming notes. . . . Kazuo Yamaguchi′s insightful review of problems in structuring EHA models is useful for those contemplating life-course research. . . . We strongly recommend its inclusion in the libraries of marketing researchers and its inclusion on suggested reading lists of graduate research method seminars. --Journal of Marketing Research "This book, which is part of Sage Publications′ Applied Social Research Methods Series, is a practical guide for those interested in using event history analysis. . . . The book′s strength is that it is well written and easy to understand. Even those with limited statistical backgrounds can follow the discussion and the systematic progression from the simpler to the more complex models (although the author provides ample references for those wanting a more rigorous discussion). . . . Upon finishing the book, I found myself wondering about specific accounting questions that might be addressed using event history analysis. There are many, and in fact, most issues can be recast in an events framework. . . . In sum, I recommend this book to anyone wanting to use event history analysis whether to apply to new research questions or to provide a fresh look at old questions." --The Accounting Review "A significant introduction to the event-history literature that provides the background to implement this difficult methodology successfully and that can be supplemented with other, more advanced texts. It will undoubtedly become a prized text among students and a valuable reference for the research community." --Contemporary Sociology As a research tool event history analysis has recently become a key technique for researchers, professionals and students in a wide range of disciplines. However, despite this increasing interest, few resources exist which clearly examine this technique. Now, Event History Analysis provides a systematic introduction to models, methods and applications of event history analysis. Kazuo Yamaguchi emphasizes "hands on" information, including the use and misuse of samples, models, and covariates in applications, the structural arrangement of input data, the specification of various models in such computer programs as SAS-LOGIST and SPSS-LOGLINEAR, and the interpretation of parameters estimated from models. This timely book also offers such significant topics as missing data, hazard rate, Cox′s partial likelihood model, survivor function, and discrete-time logit models for both one-way and two-way transitions. Event History Analysis is essential for researchers, professionals and students of public health, sociology, labor economics, political science, and organization studies.

Applied Regression Models in the Social Sciences

Download Applied Regression Models in the Social Sciences PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1108831028
Total Pages : 559 pages
Book Rating : 4.1/5 (88 download)

DOWNLOAD NOW!


Book Synopsis Applied Regression Models in the Social Sciences by : Dudley L. Poston, Jr

Download or read book Applied Regression Models in the Social Sciences written by Dudley L. Poston, Jr and published by Cambridge University Press. This book was released on 2023-07-31 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible and practical guide to the use of applied regression models in testing and evaluating hypotheses dealing with social relationships, with example applications using relevant statistical methods in both Stata and R.

Generalizing the Regression Model

Download Generalizing the Regression Model PDF Online Free

Author :
Publisher : SAGE Publications
ISBN 13 : 1506342116
Total Pages : 796 pages
Book Rating : 4.5/5 (63 download)

DOWNLOAD NOW!


Book Synopsis Generalizing the Regression Model by : Blair Wheaton

Download or read book Generalizing the Regression Model written by Blair Wheaton and published by SAGE Publications. This book was released on 2021-01-22 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. It takes a step-by-step approach in the presentation of each topic, using mathematical derivations where necessary, but primarily emphasizing how the methods involved can be implemented, are used in addressing representative substantive problems than span a number of disciplines, and can be interpreted in words. The book demonstrates the analyses in STATA and SAS. Generalizing the Regression Model provides students with a bridge from the classroom to actual research practice and application.

Discrete-event Simulation

Download Discrete-event Simulation PDF Online Free

Author :
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 632 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!


Book Synopsis Discrete-event Simulation by : Lawrence M. Leemis

Download or read book Discrete-event Simulation written by Lawrence M. Leemis and published by Prentice Hall. This book was released on 2006 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONTENIDO: Models - Random-number generation - Discrete-event simulation - Statistics - Next-event simulation - Discrete random variables - Continuous random variables - Output analysis - Input modeling - Projects.

Analysis of Clinical Trials Using SAS

Download Analysis of Clinical Trials Using SAS PDF Online Free

Author :
Publisher : SAS Institute
ISBN 13 : 1635261449
Total Pages : 455 pages
Book Rating : 4.6/5 (352 download)

DOWNLOAD NOW!


Book Synopsis Analysis of Clinical Trials Using SAS by : Alex Dmitrienko

Download or read book Analysis of Clinical Trials Using SAS written by Alex Dmitrienko and published by SAS Institute. This book was released on 2017-07-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition bridges the gap between modern statistical methodology and real-world clinical trial applications. Tutorial material and step-by-step instructions illustrated with examples from actual trials serve to define relevant statistical approaches, describe their clinical trial applications, and implement the approaches rapidly and efficiently using the power of SAS. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials. Commonly used methods are covered, including dose-escalation and dose-finding methods that are applied in Phase I and Phase II clinical trials, as well as important trial designs and analysis strategies that are employed in Phase II and Phase III clinical trials, such as multiplicity adjustment, data monitoring, and methods for handling incomplete data. This book also features recommendations from clinical trial experts and a discussion of relevant regulatory guidelines. This new edition includes more examples and case studies, new approaches for addressing statistical problems, and the following new technological updates: SAS procedures used in group sequential trials (PROC SEQDESIGN and PROC SEQTEST) SAS procedures used in repeated measures analysis (PROC GLIMMIX and PROC GEE) macros for implementing a broad range of randomization-based methods in clinical trials, performing complex multiplicity adjustments, and investigating the design and analysis of early phase trials (Phase I dose-escalation trials and Phase II dose-finding trials) Clinical statisticians, research scientists, and graduate students in biostatistics will greatly benefit from the decades of clinical research experience and the ready-to-use SAS macros compiled in this book.

Statistical Methods for Drug Safety

Download Statistical Methods for Drug Safety PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1466561858
Total Pages : 297 pages
Book Rating : 4.4/5 (665 download)

DOWNLOAD NOW!


Book Synopsis Statistical Methods for Drug Safety by : Robert D. Gibbons

Download or read book Statistical Methods for Drug Safety written by Robert D. Gibbons and published by CRC Press. This book was released on 2015-07-28 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Important Tools for High-Quality Work in Pharmaceutical SafetyStatistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of spontaneous adverse event reports, and newer approach

Regression

Download Regression PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3662638827
Total Pages : 759 pages
Book Rating : 4.6/5 (626 download)

DOWNLOAD NOW!


Book Synopsis Regression by : Ludwig Fahrmeir

Download or read book Regression written by Ludwig Fahrmeir and published by Springer Nature. This book was released on 2022-03-15 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its second edition, this textbook provides an applied and unified introduction to parametric, nonparametric and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through numerous examples and case studies. The most important definitions and statements are concisely summarized in boxes, and the underlying data sets and code are available online on the book’s dedicated website. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. The chapters address the classical linear model and its extensions, generalized linear models, categorical regression models, mixed models, nonparametric regression, structured additive regression, quantile regression and distributional regression models. Two appendices describe the required matrix algebra, as well as elements of probability calculus and statistical inference. In this substantially revised and updated new edition the overview on regression models has been extended, and now includes the relation between regression models and machine learning, additional details on statistical inference in structured additive regression models have been added and a completely reworked chapter augments the presentation of quantile regression with a comprehensive introduction to distributional regression models. Regularization approaches are now more extensively discussed in most chapters of the book. The book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written at an intermediate mathematical level and assumes only knowledge of basic probability, calculus, matrix algebra and statistics.