Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies

Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies

Abstract Background Bayesian hierarchical piecewise regression (BHPR) modeling has not been previously formulated to detect and characterise the mechanism of trajectory divergence between groups of participants that have longitudinal responses with distinct developmental phases. These models are use...

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Bibliographic Details
Main Authors: Marie-jeanne Buscot, Simon S. Wotherspoon, Costan G. Magnussen, Markus Juonala, Matthew A. Sabin, David P. Burgner, Terho Lehtimäki, Jorma S. A. Viikari, Nina Hutri-Kähönen, Olli T. Raitakari, Russell J. Thomson
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Medical Research Methodology
Subjects:
Piecewise model
Hierarchical regression
Non-linear trajectory model
Accelerated longitudinal design
Cohort effect
Group divergence
Online Access:http://link.springer.com/article/10.1186/s12874-017-0358-9

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http://link.springer.com/article/10.1186/s12874-017-0358-9

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