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Addiction, ISSN 0965-2140, 09/2016, Volume 111, Issue 9, pp. 1590 - 1598
Journal Article
Journal of the Royal Statistical Society: Series C (Applied Statistics), ISSN 0035-9254, 01/2019, Volume 68, Issue 1, pp. 29 - 49
Forecasts of mortality provide vital information about future populations, with implications for pension and healthcare policy as well as for decisions made by... 
Forecasting, Generalized additive models | Age–period–cohort | Bayesian analysis | Mortality | CARTER | Age-period-cohort | WALES | STATISTICS & PROBABILITY | ENGLAND | Mathematical models | Age | Health care policy | Statistics - Applications
Journal Article
Social Science & Medicine, ISSN 0277-9536, 11/2015, Volume 145, pp. 125 - 128
Previously, Reither et al. (2015) demonstrated that hierarchical age-period-cohort (HAPC) models perform well when basic assumptions are satisfied. To contest... 
Age–period–cohort models | Body mass index | Simulation models | Obesity epidemic | Hierarchical modeling | Random effects | Cohort effects | Social change | Age-period-cohort models | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | SOCIAL SCIENCES, BIOMEDICAL | Female | Male | Cohort Effect | Health Status Disparities | Humans | Obesity - epidemiology | Index Medicus
Journal Article
Statistical Science, ISSN 0883-4237, 2016, Volume 31, Issue 4, pp. 591 - 610
Age-period cohort models have been used to examine and forecast cancer incidence and mortality for over three decades. However, the fitting and interpretation... 
Identifiability | Age-period-cohort models | Random walk priors | UNITED-STATES | MORTALITY | NORDIC COUNTRIES | STATISTICS & PROBABILITY | TIME TRENDS | TEMPORAL VARIATION | RATES | CHILDHOOD-CANCER | APPROXIMATE BAYESIAN-INFERENCE | identifiability | INTRINSIC ESTIMATOR | Age-period cohort models | PROJECTIONS | random walk priors | Models | Bayesian analysis | Mortality | Cancer
Journal Article
Journal Article
Sociological Methods & Research, ISSN 0049-1241, 11/2016, Volume 45, Issue 4, pp. 700 - 726
Journal Article
Sociological Methods & Research, ISSN 0049-1241, 8/2011, Volume 40, Issue 3, pp. 419 - 452
If a researcher wants to estimate the individual age, period, and cohort coefficients in an age-period-cohort (APC) model, the method of choice is constrained... 
age-period-cohort models | constrained model estimation | intrinsic estimator | SOCIAL SCIENCES, MATHEMATICAL METHODS | SOCIOLOGY | Studies | Algebra | Constraints | Sociology | Deception | Age groups | Researchers | Estimating techniques | Regression analysis | Research methodology | Age | Intrinsic estimator
Journal Article
ADDICTION, ISSN 0965-2140, 09/2016, Volume 111, Issue 9, pp. 1590 - 1598
AimsTo decompose Australian trends in alcohol consumption into their age, period (survey year) and cohort (birth year/generation) components. In particular, we... 
alcohol | CROSS-SECTION SURVEYS | DRINKING | PSYCHIATRY | surveys | TIME | SUBSTANCE ABUSE | Age period cohort | youth drinking | HARM | YOUNG-PEOPLE | Australia | trends
Journal Article
RISK ANALYSIS, ISSN 0272-4332, 08/2012, Volume 32, Issue 1, pp. S151 - S165
Journal Article
Scientific World Journal, ISSN 2356-6140, 2014, Volume 2014, pp. 347043 - 24
Journal Article