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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: Wenjiang Fu
Publisher: Chapman and Hall/CRC
ISBN: 9781466592650
Category : Mathematics
Languages : en
Pages : 350
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Book Description
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.
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: 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: 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: 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: 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: Alan J. Silman
Publisher: Oxford University Press
ISBN: 0192546317
Category : Medical
Languages : en
Pages : 305
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Book Description
To successfully conduct an epidemiological study, academic subject knowledge must be combined with careful consideration of the practical elements involved. From an academic perspective, insights into the basis of epidemiology, the concepts behind how we study diseases, and the challenges and limitations of the results that emerge are prioritised. However, the success of the academic analysis depends on how, when, and where the data used is collected. Epidemiological Studies: A Practical Guide focuses on the practical challenges of epidemiological data collection. Essential topics, such as how to choose the population to study, how to maximise participation and retention, and how to frame questions so that subjects provide the information required, are the core of the material presented. The book explains the skills needed to conduct a study where data is collected and presented accurately, and in appropriate formats. In addition to presenting a step-by-step guide to epidemiological investigations, the chapters in the book are accompanied by examples of how to phrase the letters and forms needed for each stage of conducting a study. Focusing on measurement, study designs, statistics, methodological issues, and key skills, the book provides a valuable background to epidemiological study. With detailed tables and figures, a clear chapter outline, and a straightforward index, the information presented is easily accessible and can quickly be applied to the reader's own work. Extensively revised, this new edition includes updates on case-crossover, Mendelian randomisation, and case-cohort. New chapters have been added to reflect the areas a student is now likely to encounter in an introductory epidemiological course, such as evidence synthesis, use of routine data, association or causation, feasibility, and pilot studies. Epidemiological Studies: A Practical Guide is ideal for students in epidemiology, public health, health research, and health services research. It is also highly relevant to post-graduate research students, and early stage clinical and non-clinical researchers.
Author: Alan J. Silman
Publisher:
ISBN: 0198814720
Category : Medical
Languages : en
Pages : 305
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Book Description
Supplemented throughout by appropriate examples and helpful hints, this practical guide to the design, conduct, analysis and interpretation of epidemiological studies is designed to support and encourage new students as well as clinical professionals. --! From publisher's description.
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
ISBN: 1587634333
Category : Medical
Languages : en
Pages : 385
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Book Description
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
