Analysing trajectories of a longitudinal exposure: A causal perspective on common methods in lifecourse research
Abstract
Longitudinal data is commonly analysed to inform prevention policies for diseases that may develop throughout life. Commonly methods interpret the longitudinal data as a series of discrete measurements or as continuous patterns. Some of the latter methods condition on the outcome, aiming to capture ‘average’ patterns within outcome groups, while others capture individual-level pattern features before relating these to the outcome. Conditioning...
Paper Details
Title
Analysing trajectories of a longitudinal exposure: A causal perspective on common methods in lifecourse research
Published Date
Dec 4, 2019
Journal
Volume
14
Issue
12
Pages
e0225217 - e0225217
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