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Author: Wenjiang Fu
Publisher: CRC Press
ISBN: 1351644149
Category : Mathematics
Languages : en
Pages : 235
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Book Description
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.
Author: Wenjiang Fu
Publisher: CRC Press
ISBN: 1351644149
Category : Mathematics
Languages : en
Pages : 235
Get Book Here
Book Description
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.
Author: Yang Yang
Publisher: CRC Press
ISBN: 1466507535
Category : Family & Relationships
Languages : en
Pages : 353
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Book Description
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.
Author: Wenjiang Fu
Publisher: CRC Press
ISBN: 9780367734800
Category :
Languages : en
Pages : 230
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Book Description
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.
Author: Claudine Burton-Jeangros
Publisher: Springer
ISBN: 331920484X
Category : Medical
Languages : en
Pages : 215
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Book Description
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.
Author: Jos W. R. Twisk
Publisher: Cambridge University Press
ISBN: 110703003X
Category : Medical
Languages : en
Pages : 337
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Book Description
A practical guide to the most important techniques available for longitudinal data analysis, essential for non-statisticians and researchers.
Author: Jos W. R. Twisk
Publisher: Cambridge University Press
ISBN: 1009288016
Category : Medical
Languages : en
Pages : 271
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Book Description
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.
Author: Andrew Bell
Publisher: Routledge
ISBN: 0429616279
Category : Psychology
Languages : en
Pages : 245
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Book Description
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.
Author: Carl P. Greene
Publisher: Wipf and Stock Publishers
ISBN: 1666749230
Category : Social Science
Languages : en
Pages : 197
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Book Description
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.
Author: Michał Wanke
Publisher: Taylor & Francis
ISBN: 1040040535
Category : Social Science
Languages : en
Pages : 137
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Book Description
This book demonstrates how culture matters for the understanding of cannabis use. It stems from the growing body of research on how users manoeuvre stigmatisation and celebrate the subcultural status of cannabis amid rapid transformation of the substance and its societal reception. The volume presents international studies that challenge the normalisation thesis and simplified views on patterns of use, as well as the Western bias in social research of cannabis. Chapters in this book map the variability of cannabis cultures and markets on a global scale including digital, regulated and illicit markets in transformation. They study cannabis through stigmatisation, gender, social worlds, symbolic boundaries, subcultures, and identity work. The chapters address diverse themes, such as how Latvian, Polish, Nigerian or Mexican users negotiate mainstream conservative, and sometimes gendered societal reactions to cannabis - and how Nordic users’ identities are played out in more progressive contexts. Chapters also cover cannabis use by older people and small growers’ cultures in the US and the interconnections between the established cultures and their digital augmentation in Australia. Synthetic cannabis use is studied in New Zealand and the many contradictions of contemporary cannabis policies are highlighted throughout. Taken together, this book offers an assortment of studies that provide a descriptive and conceptual snapshot of ongoing transitions of paradoxically stable cannabis cultures. It was originally published as a special issue of Drugs: Education, Prevention and Policy.
Author: Matias D. Cattaneo
Publisher: Cambridge University Press
ISBN: 1108670423
Category : Political Science
Languages : en
Pages : 118
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Book Description
In this Element and its accompanying second Element, A Practical Introduction to Regression Discontinuity Designs: Extensions, Matias Cattaneo, Nicolás Idrobo, and Rocıìo Titiunik provide an accessible and practical guide for the analysis and interpretation of regression discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence. In this Element, the authors discuss the foundations of the canonical Sharp RD design, which has the following features: (i) the score is continuously distributed and has only one dimension, (ii) there is only one cutoff, and (iii) compliance with the treatment assignment is perfect. In the second Element, the authors discuss practical and conceptual extensions to this basic RD setup.
