Analyzing Time Interval Data

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Author :
Publisher : Springer
ISBN 13 : 3658157283
Total Pages : 250 pages
Book Rating : 4.6/5 (581 download)

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Book Synopsis Analyzing Time Interval Data by : Philipp Meisen

Download or read book Analyzing Time Interval Data written by Philipp Meisen and published by Springer. This book was released on 2016-09-28 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.

Timing and Time Perception: Procedures, Measures, & Applications

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Author :
Publisher : BRILL
ISBN 13 : 9004280200
Total Pages : 372 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis Timing and Time Perception: Procedures, Measures, & Applications by :

Download or read book Timing and Time Perception: Procedures, Measures, & Applications written by and published by BRILL. This book was released on 2018-04-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Timing and Time Perception: Procedures, Measures, and Applications is a one-of-a-kind, collective effort to present the most utilized and known methods on timing and time perception. Specifically, it covers methods and analysis on circadian timing, synchrony perception, reaction/response time, time estimation, and alternative methods for clinical/developmental research. The book includes experimental protocols, programming code, and sample results and the content ranges from very introductory to more advanced so as to cover the needs of both junior and senior researchers. We hope that this will be the first step in future efforts to document experimental methods and analysis both in a theoretical and in a practical manner. Contributors are: Patricia V. Agostino, Rocío Alcalá-Quintana, Fuat Balcı, Karin Bausenhart, Richard Block, Ivana L. Bussi, Carlos S. Caldart, Mariagrazia Capizzi, Xiaoqin Chen, Ángel Correa, Massimiliano Di Luca, Céline Z. Duval, Mark T. Elliott, Dagmar Fraser, David Freestone, Miguel A. García-Pérez, Anne Giersch, Simon Grondin, Nori Jacoby, Florian Klapproth, Franziska Kopp, Maria Kostaki, Laurence Lalanne, Giovanna Mioni, Trevor B. Penney, Patrick E. Poncelet, Patrick Simen, Ryan Stables, Rolf Ulrich, Argiro Vatakis, Dominic Ward, Alan M. Wing, Kieran Yarrow, and Dan Zakay.

The Statistical Analysis of Interval-censored Failure Time Data

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Author :
Publisher : Springer
ISBN 13 : 0387371192
Total Pages : 310 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis The Statistical Analysis of Interval-censored Failure Time Data by : Jianguo Sun

Download or read book The Statistical Analysis of Interval-censored Failure Time Data written by Jianguo Sun and published by Springer. This book was released on 2007-05-26 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Computational Method for Analyzing Interval-censored Time-to-event Data in the Presence of Informative Examination Times

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Publisher :
ISBN 13 : 9780494280775
Total Pages : 316 pages
Book Rating : 4.2/5 (87 download)

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Book Synopsis A Computational Method for Analyzing Interval-censored Time-to-event Data in the Presence of Informative Examination Times by : Anjela Tinkova Tzontcheva

Download or read book A Computational Method for Analyzing Interval-censored Time-to-event Data in the Presence of Informative Examination Times written by Anjela Tinkova Tzontcheva and published by . This book was released on 2007 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: In statistical analysis of time-to-event data, there are situations where the event of interest is only known to have occurred within an interval of time. Such data are considered interval-censored. In studying the human immunodeficiency (HIV) epidemic, interval-censored time-to-event data arise naturally, since the time an individual becomes HIV positive is not exactly known. In addition, individuals may undergo multiple tests before an event (HIV infection) is observed. When these tests are requested instead of pre-scheduled, their visit pattern may reflect individual risk behavior for which covariate information is not available. Therefore, the test visit times are said to be informative for the risk of HIV infection. Statistical methods that model the dependence between the event of interest and examination times are required for the analysis of such data. Farrington and Gay (1999, Statistics in Medicine 18: 1235-1248) analyzed interval-censored data with informative examination times using random effects which capture the correlation between individual's risk and visit rate. However, their proposed methodology is based on an approximation of the marginal log-likelihood and relies on large number of visits per individual. We developed a method for analyzing interval-censored time-to-event data with informative examination times, which addresses the limitations of the Farrington and Gay's method. Our method avoids the likelihood function approximation embedded in their method, thus leading to less biased parameter estimates and more accurate standard errors. Expectation-Maximization (EM) algorithm is used for parameter estimation. We employed multiple imputation of event times via Sampling/Importance Resampling method (Rubin, 1987, JASA 82). This reduced the likelihood of interval-censored time-to-event data to that of right-censored data. We evaluated the bias of parameter estimates of the proposed method and the accuracy of their standard by simulations. Under most simulation scenarios the new approach resulted in reduced bias compared to the Farrington and Gay's method. We applied the proposed method to the analysis of the Polaris HIV repeat testers data in Ontario.

Interval-Censored Time-to-Event Data

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Publisher : CRC Press
ISBN 13 : 1466504250
Total Pages : 435 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Interval-Censored Time-to-Event Data by : Ding-Geng (Din) Chen

Download or read book Interval-Censored Time-to-Event Data written by Ding-Geng (Din) Chen and published by CRC Press. This book was released on 2012-07-19 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Longitudinal Data Analysis

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Publisher : CRC Press
ISBN 13 : 142001157X
Total Pages : 633 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Longitudinal Data Analysis by : Garrett Fitzmaurice

Download or read book Longitudinal Data Analysis written by Garrett Fitzmaurice and published by CRC Press. This book was released on 2008-08-11 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory

R for Data Science

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Engineering Education 4.0

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Publisher : Springer
ISBN 13 : 3319469169
Total Pages : 955 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Engineering Education 4.0 by : Sulamith Frerich

Download or read book Engineering Education 4.0 written by Sulamith Frerich and published by Springer. This book was released on 2017-04-12 with total page 955 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of results from the interdisciplinary research project “ELLI” published by researchers at RWTH Aachen University, the TU Dortmund and Ruhr-Universität Bochum between 2011 and 2016. All contributions showcase essential research results, concepts and innovative teaching methods to improve engineering education. Further, they focus on a variety of areas, including virtual and remote teaching and learning environments, student mobility, support throughout the student lifecycle, and the cultivation of interdisciplinary skills.

Simulation Tools and Techniques

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Publisher : Springer Nature
ISBN 13 : 3030727955
Total Pages : 780 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Simulation Tools and Techniques by : Houbing Song

Download or read book Simulation Tools and Techniques written by Houbing Song and published by Springer Nature. This book was released on 2021-05-27 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed post-conference proceedings of the 12th International Conference on Simulation Tools and Techniques, SIMUTools 2020, held in Guiyang, China, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 125 revised full papers were carefully selected from 354 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.

Methods and Applications of Longitudinal Data Analysis

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Publisher : Elsevier
ISBN 13 : 0128014822
Total Pages : 531 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Methods and Applications of Longitudinal Data Analysis by : Xian Liu

Download or read book Methods and Applications of Longitudinal Data Analysis written by Xian Liu and published by Elsevier. This book was released on 2015-09-01 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: - descriptive methods for delineating trends over time - linear mixed regression models with both fixed and random effects - covariance pattern models on correlated errors - generalized estimating equations - nonlinear regression models for categorical repeated measurements - techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. - From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis - Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection - Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.

Similarity Analysis of Time Interval Data Sets Regarding Time Shifts and Rescaling

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Similarity Analysis of Time Interval Data Sets Regarding Time Shifts and Rescaling by : Marc Haßler

Download or read book Similarity Analysis of Time Interval Data Sets Regarding Time Shifts and Rescaling written by Marc Haßler and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introductory Time Series with R

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Publisher : Springer Science & Business Media
ISBN 13 : 0387886982
Total Pages : 262 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Introductory Time Series with R by : Paul S.P. Cowpertwait

Download or read book Introductory Time Series with R written by Paul S.P. Cowpertwait and published by Springer Science & Business Media. This book was released on 2009-05-28 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives you a step-by-step introduction to analysing time series using the open source software R. Each time series model is motivated with practical applications, and is defined in mathematical notation. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence enhances understanding of both the time series model and the R function used to fit the model to data. Finally, the model is used to analyse observed data taken from a practical application. By using R, the whole procedure can be reproduced by the reader. All the data sets used in the book are available on the website http://staff.elena.aut.ac.nz/Paul-Cowpertwait/ts/. The book is written for undergraduate students of mathematics, economics, business and finance, geography, engineering and related disciplines, and postgraduate students who may need to analyse time series as part of their taught programme or their research.

Cochrane Handbook for Systematic Reviews of Interventions

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Publisher : Wiley
ISBN 13 : 9780470699515
Total Pages : 672 pages
Book Rating : 4.6/5 (995 download)

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Book Synopsis Cochrane Handbook for Systematic Reviews of Interventions by : Julian P. T. Higgins

Download or read book Cochrane Handbook for Systematic Reviews of Interventions written by Julian P. T. Higgins and published by Wiley. This book was released on 2008-11-24 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.

Using Stata for Quantitative Analysis

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Publisher : SAGE
ISBN 13 : 1412997119
Total Pages : 241 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Using Stata for Quantitative Analysis by : Kyle C. Longest

Download or read book Using Stata for Quantitative Analysis written by Kyle C. Longest and published by SAGE. This book was released on 2012 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Stata for Quantitative Analysis is an applied, self-teaching resource. It is written in such a way that a reader with no experience with statistical software can sit down and be working with data in a very short amount of time. The author proposes to teach the language of Stata from an intuitive perspective, furthering students’ overall retention, using many screen shots from Stata to guide students.

Analysis of Messy Data Volume 1

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Publisher : CRC Press
ISBN 13 : 1420010158
Total Pages : 690 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Analysis of Messy Data Volume 1 by : George A. Milliken

Download or read book Analysis of Messy Data Volume 1 written by George A. Milliken and published by CRC Press. This book was released on 2009-03-02 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t

Introductory Business Statistics

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Publisher :
ISBN 13 : 9781947172463
Total Pages : 0 pages
Book Rating : 4.1/5 (724 download)

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Book Synopsis Introductory Business Statistics by : Alexander Holmes

Download or read book Introductory Business Statistics written by Alexander Holmes and published by . This book was released on 2017-11-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

Interval Timing and Time-Based Decision Making

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Publisher : Frontiers Media SA
ISBN 13 : 288919034X
Total Pages : 480 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Interval Timing and Time-Based Decision Making by : Warren H. Meck

Download or read book Interval Timing and Time-Based Decision Making written by Warren H. Meck and published by Frontiers Media SA. This book was released on 2012-05-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The perception of time is crucial for everyday activities from the sleep–wake cycle to playing and appreciating music, verbal communication, to the determination of the value of a particular behavior. With regard to the last point, making decisions is heavily influenced by the duration of the various options, the duration of the expected delays for receiving the options, and the time constraints for making a choice. Recent advances suggest that the brain represents time in a distributed manner and reflects time as a result of temporal changes in network states and/or by the coincidence detection of the phase of different neural populations. Moreover, intrinsic oscillatory properties of neural circuits could determine timed motor responses. This Research Topic, partly an emergence of a Satellite EBBS meeting sponsored by the COST-Action TIMELY, will discuss how time in the physical world is reconstructed, distorted and modified in brain networks by emotion, learning and neuropathology. This Research Topic on Timing contains up-to-date reviews regarding the relationship between time and decision-making with respect to the underlying psychological and physiological mechanisms responsible for anticipation and evaluation processes.