Smooth predictions for age-period-cohort models: a comparison between splines and random process

Smooth predictions for age-period-cohort models: a comparison between splines and random process

Abstract Background Age-Period-Cohort (APC) models are well used in the context of modelling health and demographic data to produce smooth predictions of each time trend. When producing smooth predictions in the context of APC models, there are two main schools, frequentist using penalised splines,...

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Bibliographic Details
Main Authors: Connor Gascoigne, Andrea Riebler, Theresa Smith
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Research Methodology
Subjects:
Age-period-cohort
identifiability
smoothing
prediction
penalised splines
random processes
Online Access:https://doi.org/10.1186/s12874-025-02629-8
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https://doi.org/10.1186/s12874-025-02629-8

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