Population
206 pregnant women referred to an obstetric day unit with high blood pressure
Comparison
Two-level hierarchical linear model… vs Classical approach
Follow-up
24 hours
Authors
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Simplifies ABPM mean-profile modeling without material change; leaves open effects on other parameters or patient-level inference.
A Bayesian hierarchical model using restricted cubic splines provides a flexible method for analyzing 24-hour ABPM data, though modeling heterogeneous within-subject variances minimally impacts mean profile estimates.
Lambert et al. (2001) studied this question.
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