Increasing the Validity and Efficiency of Blood Pressure Estimates Using Ambulatory and Clinic Measurements and Modern Missing Data Methods
Author(s) -
Matthew J. Zawadzki,
John W. Graham,
William Gerin
Publication year - 2012
Publication title -
american journal of hypertension
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 136
eISSN - 1941-7225
pISSN - 0895-7061
DOI - 10.1038/ajh.2012.40
Subject(s) - medicine , ambulatory , missing data , ambulatory blood pressure , measure (data warehouse) , gold standard (test) , blood pressure , statistical power , statistics , cardiology , computer science , data mining , mathematics
Ambulatory blood pressure monitoring (ABPM) is considered the gold standard for BP measurement, compared to clinic BP measurements (CBP), which are a less valid predictor of target organ damage and cardiovascular events. However, ABPM is considerably more expensive than CBP, leaving BP researchers with a difficult dilemma: Use the less efficient CBP measure, or bear the cost of the more expensive ABPM. Recent developments in missing data methods, notably the two-method measurement (TMM) design, address this problem. With the TMM design, all research participants receive the less expensive CBP measure, but only a random subset receives the more expensive ABPM. The total number of participants must be increased, with additional participants receiving only CBP measurements. Even so, the TMM still reduces costs.
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