A Practical Guide To Age Period Cohort Analysis Using R


A Practical Guide To Age Period Cohort Analysis Using R
DOWNLOAD
FREE 30 Days

Download A Practical Guide To Age Period Cohort Analysis Using R PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Practical Guide To Age Period Cohort Analysis Using R book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





A Practical Guide To Age Period Cohort Analysis Using R


A Practical Guide To Age Period Cohort Analysis Using R
DOWNLOAD
FREE 30 Days

Author : Wenjiang Fu
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2016-02-15

A Practical Guide To Age Period Cohort Analysis Using R written by Wenjiang Fu and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-15 with Mathematics categories.


A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more theoretical point of view, it then presents various methods for addressing the complex identification problem. Appendices cover the necessary background material.



A Practical Guide To Age Period Cohort Analysis Using R


A Practical Guide To Age Period Cohort Analysis Using R
DOWNLOAD
FREE 30 Days

Author : Wenjiang Fu
language : en
Publisher:
Release Date : 2017

A Practical Guide To Age Period Cohort Analysis Using R written by Wenjiang Fu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Electronic books categories.


"A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more theoretical point of view, it then presents various methods for addressing the complex identification problem. Appendices cover the necessary background material."--Provided by publisher.



A Practical Guide To Age Period Cohort Analysis


A Practical Guide To Age Period Cohort Analysis
DOWNLOAD
FREE 30 Days

Author : Wenjiang Fu
language : en
Publisher: CRC Press
Release Date : 2018-04-27

A Practical Guide To Age Period Cohort Analysis written by Wenjiang Fu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Mathematics categories.


Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features · Gives a comprehensive and in-depth review of models and methods in APC analysis. · Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. · Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu’s research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.



Age Period Cohort Analysis


Age Period Cohort Analysis
DOWNLOAD
FREE 30 Days

Author : Yang Yang
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Age Period Cohort Analysis written by Yang Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.


This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions.



Age Period Cohort Models


Age Period Cohort Models
DOWNLOAD
FREE 30 Days

Author : Robert O'Brien
language : en
Publisher: CRC Press
Release Date : 2014-08-19

Age Period Cohort Models written by Robert O'Brien and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-19 with Mathematics categories.


Develop a Deep Understanding of the Statistical Issues of APC Analysis Age–Period–Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. See How Common Methods Are Related to Each Other After a general and wide-ranging introductory chapter, the book explains the identification problem from algebraic and geometric perspectives and discusses constrained regression. It then covers important strategies that provide information that does not directly depend on the constraints used to identify the APC model. The final chapter presents a specific empirical example showing that a combination of the approaches can make a compelling case for particular APC effects. Get Answers to Questions about the Relationships of Ages, Periods, and Cohorts to Important Substantive Variables This book incorporates several APC approaches into one resource, emphasizing both their geometry and algebra. This integrated presentation helps researchers effectively judge the strengths and weaknesses of the methods, which should lead to better future research and better interpretation of existing research.



Age Period And Cohort Effects


Age Period And Cohort Effects
DOWNLOAD
FREE 30 Days

Author : Andrew Bell
language : en
Publisher: Routledge
Release Date : 2020-11-05

Age Period And Cohort Effects written by Andrew Bell and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Psychology categories.


Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem gives a number of perspectives from top methodologists and applied researchers on the best ways to attempt to answer Age–Period–Cohort related questions about society. Age–Period–Cohort (APC) analysis is a fundamental topic for any quantitative social scientist studying individuals over time. At the same time, it is also one of the most misunderstood and underestimated topics in quantitative methods. As such, this book is key reference material for researchers wanting to know how to deal with APC issues appropriately in their statistical modelling. It deals with the identification problem caused by the co-linearity of the three variables, considers why some currently used methods are problematic and suggests ideas for what applied researchers interested in APC analysis should do. Whilst the perspectives are varied, the book provides a unified view of the subject in a reader-friendly way that will be accessible to social scientists with a moderate level of quantitative understanding, across the social and health sciences.



Age Period Cohort Analysis


Age Period Cohort Analysis
DOWNLOAD
FREE 30 Days

Author : Yang Yang
language : en
Publisher:
Release Date : 2016

Age Period Cohort Analysis written by Yang Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.


Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of populati.



Applied Longitudinal Data Analysis For Epidemiology


Applied Longitudinal Data Analysis For Epidemiology
DOWNLOAD
FREE 30 Days

Author : Jos W. R. Twisk
language : en
Publisher: Cambridge University Press
Release Date : 2013-05-09

Applied Longitudinal Data Analysis For Epidemiology written by Jos W. R. Twisk and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-09 with Medical categories.


A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.



Applied Statistics With R


Applied Statistics With R
DOWNLOAD
FREE 30 Days

Author : Justin C. Touchon
language : en
Publisher: Oxford University Press
Release Date : 2021

Applied Statistics With R written by Justin C. Touchon and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computers categories.


This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data. - -



Applied Longitudinal Data Analysis For Medical Science


Applied Longitudinal Data Analysis For Medical Science
DOWNLOAD
FREE 30 Days

Author : Jos W. R. Twisk
language : en
Publisher: Cambridge University Press
Release Date : 2023-04-30

Applied Longitudinal Data Analysis For Medical Science written by Jos W. R. Twisk and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-30 with Medical categories.


Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics.