By Yang Yang
Age-Period-Cohort research: New versions, tools, and Empirical Applications relies 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 sped up longitudinal panel reports. The authors express how the empirical software of the versions to varied difficulties ends up in many desirable findings on how end result variables boost alongside the age, interval, and cohort dimensions.
The e-book makes crucial contributions to quantitative reviews of time-related switch. throughout the creation of the GLMM framework, it indicates how cutting edge estimation equipment and new version standards can be utilized to take on the "model identity challenge" that has hampered the advance and empirical program of APC research. The booklet additionally addresses the key feedback opposed to APC research by way of explaining using new types in the GLMM framework to discover mechanisms underlying age styles and temporal tendencies.
Encompassing either methodological expositions and empirical reports, this e-book explores the ways that statistical types, tools, and learn designs can be utilized to open new percentages for APC research. It compares new and latest versions and techniques and gives helpful guidance on tips on how to behavior APC research. For empirical illustrations, the textual content contains examples from quite a few disciplines, corresponding to sociology, demography, and epidemiology. besides information on empirical analyses, software program and courses to estimate the types can be found at the book’s net page.
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Extra info for Age-period-cohort analysis: new models, methods, and empirical applications
2 Cancer Incidence Rates from Surveillance, Epidemiology, and End Results (SEER): 1973–2008 The NCI’s Surveillance, Epidemiology, and End Results (SEER) Program collects information through cancer registries in various states on newly diagnosed invasive cancers in the United States. S. 2% since 2000. We obtained incidence cancer and population count data from 1973 to 2008 by age, year of diagnosis, sex, and race from the SEER research data using the SEER*Stat Software. We analyzed the trends of the top 20 cancer sites for males and females (Jemal et al.
It has five response categories: poor, fair, good, very good, and excellent. 8 shows the summary statistics for self-rated health and individual-level demographic and social variables that have been linked to health in previous research. The respondents were aged 18 to 85 and belonged to 18 five-year cohorts born between 1899 and 1985. The sampling frame for the NHIS is redesigned every 10 years and was redesigned, during the period studied here, in 1995. Nonetheless, the fundamental design of the 1995–2007 NHIS was similar to that of the 1985–1994 NHIS.
The composition of cohorts in this setting may be affected somewhat by international migration. 75 18 Age-Period-Cohort Analysis Repeated cross-sectional data designs have largely been analyzed as age- by-time period arrays in which age, time period, and birth cohort are considered same-level factors affecting the outcome of interest. The subsequent modeling approach suffers from a major problem, called the “model identification problem” or APC conundrum, induced by the algebraic relationship between A, P, and C noted.
Age-period-cohort analysis: new models, methods, and empirical applications by Yang Yang