A Practical Guide to Age-Period-Cohort Analysis
A Practical Guide to Age-Period-Cohort Analysis

Author: Wenjiang Fu

Publisher: CRC Press

Published: 2018-04-27

Total Pages: 235

ISBN-13: 1351644149

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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.

A Practical Guide to Age-Period Cohort Analysis Using R
A Practical Guide to Age-Period Cohort Analysis Using R

Author: Wenjiang Fu

Publisher: Chapman and Hall/CRC

Published: 2016-02-15

Total Pages: 350

ISBN-13: 9781466592650

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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.

Age-Period-Cohort Analysis
Age-Period-Cohort Analysis

Author: Yang Yang

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 355

ISBN-13: 1000218732

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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 and Cohort Effects
Age, Period and Cohort Effects

Author: Andrew Bell

Publisher: Routledge

Published: 2020-11-05

Total Pages: 245

ISBN-13: 0429616279

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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

Author: Yang Yang

Publisher:

Published: 2016

Total Pages: 352

ISBN-13:

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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.

Age-Period-Cohort Models
Age-Period-Cohort Models

Author: Robert O'Brien

Publisher: CRC Press

Published: 2014-08-19

Total Pages: 220

ISBN-13: 1466551534

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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.

Recognizing Rural Ministry
Recognizing Rural Ministry

Author: Carl P. Greene

Publisher: Wipf and Stock Publishers

Published: 2022-09-27

Total Pages: 197

ISBN-13: 1666749230

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Rural ministry can be a frustrating endeavor. Traditional metrics of success are misleading and anecdotal, one-size-fits-all approaches which often fall flat in the field. In Recognizing Rural Ministry, Carl Greene uses his research to suggest tools to customize your ministry to your community and effectively engage often-overlooked mission fields. These tools come from data-driven academic research presented through the lens of the author's lived experience as a dairy farmer, rural pastor, hospice chaplain, rural layperson, rural policy advocate, and administrator of a network of churches. The book is intended for rural ministry practitioners who want to use current scholarship to better examine the complexity and diversity of rural contexts. The book engages with the rural ministry impact of cultural phenomena such as the rise of the “Spiritual but Not Religious” (SBNR) phenomenon and “early old age” (EOA) demographics. The text also addresses key theories surrounding rural subcultures, demographic tools available to describe rural communities, and the shaping influence of rural community rituals on religiosity. Intended for pastors, seminarians, college students, and rural laypersons who are passionate about adding to their toolbox of rural ministry assessment.

A Life Course Perspective on Health Trajectories and Transitions
A Life Course Perspective on Health Trajectories and Transitions

Author: Claudine Burton-Jeangros

Publisher: Springer

Published: 2015-08-11

Total Pages: 215

ISBN-13: 331920484X

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This open access book examines health trajectories and health transitions at different stages of the life course, including childhood, adulthood and later life. It provides findings that assess the role of biological and social transitions on health status over time. The essays examine a wide range of health issues, including the consequences of military service on body mass index, childhood obesity and cardiovascular health, socio-economic inequalities in preventive health care use, depression and anxiety during the child rearing period, health trajectories and transitions in people with cystic fibrosis and oral health over the life course. The book addresses theoretical, empirical and methodological issues as well as examines different national contexts, which help to identify factors of vulnerability and potential resources that support resilience available for specific groups and/or populations. Health reflects the ability of individuals to adapt to their social environment. This book analyzes health as a dynamic experience. It examines how different aspects of individual health unfold over time as a result of aging but also in relation to changing socioeconomic conditions. It also offers readers potential insights into public policies that affect the health status of a population.

Applied Longitudinal Data Analysis for Epidemiology
Applied Longitudinal Data Analysis for Epidemiology

Author: Jos W. R. Twisk

Publisher: Cambridge University Press

Published: 2013-05-09

Total Pages: 337

ISBN-13: 110703003X

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

Longitudinal Data Analysis
Longitudinal Data Analysis

Author: Jason Newsom

Publisher: Routledge

Published: 2013-06-19

Total Pages: 407

ISBN-13: 1136705473

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This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.