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Statistical Issues in a Metaregression Analysis of Randomized Trials: Impact on the Dietary Sodium Intake and Blood Pressure Relationship

Celia M. T. Greenwood, Julian P. Midgley, Andrew G. Matthew and Alexander G. Logan
Biometrics
Vol. 55, No. 2 (Jun., 1999), pp. 630-636
Stable URL: http://www.jstor.org/stable/2533818
Page Count: 7
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Statistical Issues in a Metaregression Analysis of Randomized Trials: Impact on the Dietary Sodium Intake and Blood Pressure Relationship
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Abstract

In a meta-analysis of randomized trials of the effects of dietary sodium interventions on blood pressure, we found substantial heterogeneity among the studies. We were interested in evaluating whether measurement error, known to be a problem for dietary sodium measures, publication bias, or confounding factors could be responsible for the heterogeneity. A measurement error correction was developed that corrects both the slope and the intercept and takes into account the sample size of each study and the number of measurements taken on an individual. The measurement error correction had a minimal effect on the estimates, although it performed well in simulated data. A smoothed scatter plot was used to assess publication bias. Metaregressions provide a convenient way to jointly assess the effects of several factors, but care must be taken to fit an appropriate model.

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