Latent and observable variables: Difference between revisions

Revision as of 02:08, 12 September 2020

Revision as of 20:15, 27 November 2020

Line 25:

===Medicine===

Latent-variable methodology is used in many branches of [[medicine]]. A class of problems that naturally lend themselves to latent variables approaches are [[longitudinal studies]] where the time scale (e.g. age of participant or time since study baseline) is not synchronized with the trait being studied. For such studies, an unobserved time scale that is synchronized with the trait being studied can be modeled as a transformation of the observed time scale using latent variables. Examples of this include [[Nonlinear_mixed-effects_model#Disease_progression_modeling|disease progression modeling]] and [[Nonlinear_mixed-effects_model#Growth_analysisExample: Growth analysis|modeling of growth]] (see box).

==Inferring latent variables==