Salīdzināt metodes

	Age-Period-Cohort Model	Dzīvildzes analīze
Nozare	Demogrāfija	Demogrāfija
Saime	Regression model	Survival analysis
Izcelsmes gads	1983	1984
Autors	Theodore R. Holford (modern estimable-function formulation)	Demographic/actuarial tradition; Chiang
Tips	Regression decomposition of rates into age, period and cohort effects	Age-structured mortality estimator
Pirmavots	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
Citi nosaukumi	APC Model, Age-Period-Cohort Analysis, Holford APC Model	Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu
Saistītās	4	3
Kopsavilkums	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.