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Comparing Three Preprocessing Strategies for Longitudinal DataAn Example in Functional Outcomes ResearchNorthwestern University Medical School and the University of Illinois at Chicago
Northwestern University Medical School and the Institute for Health Services Research and Policy Studies
Northwestern University Medical School Longitudinal monitoring of individual patient data is becoming routine in physician office practice. This study compares three different methods for evaluating clinical outcomes for individual patients: raw change score analysis versus normative and ipsative statistical analyses. Two discrete samples of intermittent claudication patients making vascular surgery office visitsdrawn from interventional management versus stable, routinely followed control groupswere tested four times using both generic and disease-specific functional status measures. Results indicated that the ipsative method was most consistent with several different types of a priori hypotheses that are often evaluated in analysis of repeated measures data.
Evaluation & the Health Professions, Vol. 22, No. 2,
254-277 (1999) |
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