By Yang Yang
Age-Period-Cohort research: New versions, tools, and Empirical Applications is predicated on a decade of the authors’ collaborative paintings in age-period-cohort (APC) research. inside of a unmarried, constant HAPC-GLMM statistical modeling framework, the authors synthesize APC versions and strategies for 3 examine designs: age-by-time interval tables of inhabitants charges or proportions, repeated cross-section pattern surveys, and speeded up longitudinal panel reviews. The authors convey how the empirical program of the versions to numerous difficulties ends up in many desirable findings on how final result variables strengthen alongside the age, interval, and cohort dimensions.
The ebook makes crucial contributions to quantitative stories of time-related swap. in the course of the creation of the GLMM framework, it exhibits how leading edge estimation tools and new version requirements can be utilized to take on the "model id challenge" that has hampered the improvement and empirical software of APC research. The booklet additionally addresses the main feedback opposed to APC research through explaining using new types in the GLMM framework to discover mechanisms underlying age styles and temporal traits.
Encompassing either methodological expositions and empirical stories, this ebook explores the ways that statistical types, equipment, and learn designs can be utilized to open new probabilities for APC research. It compares new and present versions and techniques and gives important directions on find out how to behavior APC research. For empirical illustrations, the textual content comprises examples from quite a few disciplines, corresponding to sociology, demography, and epidemiology. in addition to information on empirical analyses, software program and courses to estimate the versions can be found at the book’s net page.
Read or Download Age-period-cohort analysis: new models, methods, and empirical applications PDF
Similar probability & statistics books
The non parametric data of the behavioral sciences.
Wer nach den Sternen greifen will, sollte zumindest eine Fußbank haben – so lautet eine alte Volksweisheit. Alle newbie in einem Ingenieur-Bachelor-Studiengang greifen nach den Sternen. Denn sie haben sich für ein außerordentlich anstrengendes Studium entschieden: In wenigen Jahren von Null zum kreativen, wissenden, souveränen Ingenieur.
This publication is the results of lectures which I gave dur ing the educational yr 1972-73 to third-year scholars a~ Aarhus collage in Denmark. the aim of the booklet, as of the lectures, is to survey many of the major issues within the glossy concept of stochastic tactics. In my past e-book likelihood: !
This ebook is predicated on a seminar given on the college of California at l. a. within the Spring of 1975. the alternative of themes displays my pursuits on the time and the desires of the scholars taking the path. before everything the lectures have been written up for ebook within the Lecture Notes sequence. How ever, while I authorised Professor A.
Extra resources for Age-period-cohort analysis: new models, methods, and empirical applications
We then imputed the usage data by a backward extrapolation to year 1970 based on the observation that the rates showed a strong log-linear increasing trend from 1988 to 1999. The final variable of period pattern of HRT usage indicates the percentage of women aged 45 and older who were dispensed at least one prescription of estrogen plus progestin in each of eight 5-year periods from 1970 to 2006. The second period-level variable for breast cancer analysis is the percentage of women aged 40 years and older who reported a mammogram within the past 2 years.
Whitney Robinson for assistance with data preparation, including providing data on the measured weight and height for nine survey periods, construction of the obesity variable across ages, as well as substantive expertise on the measures and trends of obesity. 3 National Health Interview Surveys (NHIS) 1984–2007: Health Disparities Social disparities in health or simply health disparities are a long-standing research problem in medical sociology and social epidemiology. As data from more large surveys accumulate over time and become available to analysts, the question of trends and changes in health disparities also becomes more relevant.
NHIS collects health information for each member of a family or household sampled, as reported by one primary respondent. To reduce reporting/ measurement errors, we limited our analysis to the primary respondent. 41 1 1985 2007 and for women was about 12,575 each year (in total 12,575*24 = 301,800). The outcome variable, self-rated health, has remained largely unchanged across periodic revisions of the NHIS questionnaires, which facilitates the analysis of trends. It has five response categories: poor, fair, good, very good, and excellent.