Applied Survival Analysis Using R

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Applied Survival Analysis Using R

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Author : Dirk F. Moore
language : en
Publisher: Springer
Release Date : 2016-05-11

Applied Survival Analysis Using R written by Dirk F. Moore and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-11 with Medical categories.

Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis. Because explaining survival analysis requires more advanced mathematics than many other statistical topics, this book is organized with basic concepts and most frequently used procedures covered in earlier chapters, with more advanced topics near the end and in the appendices. A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics.

Learn Ggplot2 Using Shiny App

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Author : Keon-Woong Moon
language : en
Publisher: Springer
Release Date : 2017-04-13

Learn Ggplot2 Using Shiny App written by Keon-Woong Moon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-13 with Computers categories.

This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding. In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. This manual—"integrating" R, ggplot2, and Shiny—introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone. Learn ggplot2 Using Shiny App allows users to Make publication-ready plots in minutes without coding Download plots with desired width, height, and resolution Plot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics

Ggplot2

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Author : Hadley Wickham
language : en
Publisher: Springer
Release Date : 2016-06-08

Ggplot2 written by Hadley Wickham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-08 with Computers categories.

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

Statistical Methods And Models For Health And Clinical Studies

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Author : Shahjahan Khan
language : en
Publisher: Springer Nature
Release Date : 2025-08-21

Statistical Methods And Models For Health And Clinical Studies written by Shahjahan Khan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-21 with Medical categories.

This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks. By using real-life examples and motivational scenarios from health studies, the book explains all relevant concepts and methods in an engaging and accessible manner, avoiding unnecessary mathematical jargon. Every chapter of the book starts with a set of learning outcomes to guide the researchers and users. Special attention is given to explaining statistical concepts with examples from various health areas, ensuring clarity and understanding. The book covers a wide range of topics, including data description and collection, study designs, inferential methods, statistical model fittings, and data analysis using SPSS, R, and STATA codes. Readers are provided with step-by-step guidance with illustrations, making it easier to follow along and apply the techniques discussed, and interpretation of results in the context of the problem. The book highlights the importance of statistics in solving health and clinical problems, equipping readers with the essential tools and strategies needed for evidence-based decision-making. By focusing on practical examples and real-world applications, this book serves as an invaluable resource for health professionals and researchers offering valuable insights and practical advice to help navigate the complexities of statistical analysis in the health and clinical fields.

Computer Human Interaction Research And Applications

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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2023-08-23

Computer Human Interaction Research And Applications written by Andreas Holzinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-23 with Computers categories.

This post-conference book constitutes selected papers of the Fifth International Conference on Computer-Human Interaction Research and Applications, CHIRA 2021, held virtually due to COVID 19, and Sixth International Conference on Computer-Human Interaction Research and Applications, CHIRA 2022, held in Valletta, Malta, in October 2022. The 8 full papers presented in this book were carefully reviewed and selected from 48 submissions for CHIRA 2021 and 37 submissions for CHIRA 2022. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on computer-human interaction, including user-centered interaction design patterns, user experience design, multimedia and multimodal Interaction, interaction design modelling, haptic and tangible devices, accessible and adaptive interaction, user behaviour analysis, user experience evaluation, modelling human factors, mobile computer-human interaction, machine learning, information retrieval, human-centered AI and design and evaluation.

Proceedings Of The 7th International Conference On Concrete Repair Rehabilitation And Retrofitting

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Author : Hans Beushausen
language : en
Publisher: Springer Nature
Release Date : 2024-10-31

Proceedings Of The 7th International Conference On Concrete Repair Rehabilitation And Retrofitting written by Hans Beushausen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Technology & Engineering categories.

This book gathers contributions presented at the 7th International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR), held in Cape Town, South Africa, on November 4–6, 2024. The conference aims at sharing knowledge and experience on current developments in concrete technology, durability design and service life management, condition assessment of concrete structures, and concrete repair, rehabilitation and retrofitting. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Medical Statistics For Cancer Studies

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Author : Trevor F. Cox
language : en
Publisher: CRC Press
Release Date : 2022-06-23

Medical Statistics For Cancer Studies written by Trevor F. Cox and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-23 with Mathematics categories.

Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author’s many years of experience working in a cancer clinical trials unit. Features: A broad and accessible overview of statistical methods in cancer research Necessary background in cancer biology and genetics Details of statistical methodology with minimal algebra Many examples using real data from cancer clinical trials Appendix giving statistics revision.

Applied Survival Analysis

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Author : David W. Hosmer
language : en
Publisher:
Release Date : 2002

Applied Survival Analysis written by David W. Hosmer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Survival analysis (Biometry) categories.

An Introduction To Survival Analysis Using Stata Revised Edition

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Author : Mario Cleves
language : en
Publisher: Stata Press
Release Date : 2004

An Introduction To Survival Analysis Using Stata Revised Edition written by Mario Cleves and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.

Developing the statistical concepts unique to survival data, An Introduction to Survival Analysis Using Stata, Revised Edition includes statistical theory, step-by-step procedures for analyzing survival data, a detailed usage guide for Stata's most widely used st commands, and pointers for using Stata to analyze survival data and present the results. The book covers basic theoretical concepts, censoring and truncation, and the preparation of survival data for analysis using Stata's st analysis commands. It also discusses Cox regression and includes various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, and modeling diagnostics. The final chapters fit parametric models using Stata's streg command.

Applied Survival Analysis

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Author : David W. Hosmer, Jr.
language : en
Publisher: Wiley-Interscience
Release Date : 1999-01-21

Applied Survival Analysis written by David W. Hosmer, Jr. and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-01-21 with Mathematics categories.

A Practical, Up-To-Date Guide To Modern Methods In The Analysis Of Time To Event Data. The rapid proliferation of powerful and affordable statistical software packages over the past decade has inspired the development of an array of valuable new methods for analyzing survival time data. Yet there continues to be a paucity of statistical modeling guides geared to the concerns of health-related researchers who study time to event data. This book helps bridge this important gap in the literature. Applied Survival Analysis is a comprehensive introduction to regression modeling for time to event data used in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies. While the authors emphasize the proportional hazards model, descriptive methods and parametric models are also considered in some detail. Key topics covered in depth include: * Variable selection. * Identification of the scale of continuous covariates. * The role of interactions in the model. * Interpretation of a fitted model. * Assessment of fit and model assumptions. * Regression diagnostics. * Recurrent event models, frailty models, and additive models. * Commercially available statistical software and getting the most out of it. Applied Survival Analysis is an ideal introduction for graduate students in biostatistics and epidemiology, as well as researchers in health-related fields.