Multilevel model: Difference between revisions

Revision as of 05:18, 1 April 2022

Revision as of 05:20, 1 April 2022

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[[File:Bayesian research cycle.png|500px|thumb|right|Bayesian research cycle using Bayesian nonlinear mixed effects model: (a) standard research cycle and (b) Bayesian-specific workflow <ref>{{Cite journal |last1=Lee|first1=Se Yoon| title = Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications |journal=Mathematics|year=2022|doi=10.3390/math10060898|doi-access=free}}</ref>.]]

The framework of Bayesian hierarchicalmultilevel modeling is frequently used in diverse applications and it can be formulated by Bayesian inference. Particularly, Bayesian nonlinear mixed-effects models have recently received significant attention. A basic version of the Bayesian nonlinear mixed-effects models is represented as the following three-stage:

'''''Stage 1: Individual-Level Model'''''