Σύγκριση μεθόδων

	Age-Period-Cohort Model	Ανάλυση Πινάκων Επιβίωσης
Πεδίο	Δημογραφία	Δημογραφία
Οικογένεια	Regression model	Survival analysis
Έτος προέλευσης	1983	1984
Δημιουργός	Theodore R. Holford (modern estimable-function formulation)	Demographic/actuarial tradition; Chiang
Τύπος	Regression decomposition of rates into age, period and cohort effects	Age-structured mortality estimator
Θεμελιώδης πηγή	Holford, T. R. (1983). The estimation of age, period and cohort effects for vital rates. Biometrics, 39(2), 311–324.	Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2
Εναλλακτικές ονομασίες	APC Model, Age-Period-Cohort Analysis, Holford APC Model	Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu
Συναφείς	4	3
Σύνοψη	The age-period-cohort (APC) model decomposes variation in a vital rate — mortality, incidence, fertility — into three temporal dimensions: the age of individuals, the calendar period of observation, and the birth cohort to which they belong. It is the standard framework for asking whether a trend reflects how risk changes with age, contemporaneous period influences affecting all ages at once, or generational effects carried by successive cohorts. Its defining technical challenge is that cohort equals period minus age, an exact linear dependence that makes the three sets of linear effects unidentifiable without further assumptions; Holford's 1983 formulation clarified exactly which quantities can and cannot be estimated.	A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike.