Abstract
Survival analysis techniques including follow-up life tables and regression methods that utilize concomitant information are shown to be applicable to the analysis of medical follow-up study dropout data. These techniques have been applied to data from the Hypertension Detection and Follow-up Program in order to gain knowledge about factors associated with a study participant's tendency to either remain active in the Program or drop out.
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