This paper proposes a robust statistical methodology for analyzing treatment effects in 24-hour ambulatory blood pressure monitoring data.
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May refine ABPM analyses for circadian and subject effects; leaves open validation and clinical impact in trials.
This paper presents a statistical analysis of treatment effects in 24-hour ambulatory blood pressure recordings. The statistical models account for circadian rhythms, subject effects, and the effects of treatment with drugs or relaxation therapy. In view of the heterogeneity of the subjects, we fit a separate linear model to the data of each subject, use robust statistical procedures to estimate the parameters of the linear models, and trim the data on a subject by subject basis. We use a meta-analytical method to combine the results of all subjects in the study.
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Marler et al. (1988) studied this question.
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