Cancer Institute A national cancer institute
designated cancer center

Philip W. Lavori

Publication Details

  • A MULTIPLE IMPUTATION STRATEGY FOR CLINICAL-TRIALS WITH TRUNCATION OF PATIENT DATA STATISTICS IN MEDICINE Lavori, P. W., Dawson, R., Shera, D. 1995; 14 (17): 1913-1925

    Abstract:

    Clinical trials of drug treatments for psychiatric disorders commonly employ the parallel groups, placebo-controlled, repeated measure randomized comparison. When patients stop adhering to their originally assigned treatment, investigators often abandon data collection. Thus, non-adherence produces a monotone pattern of unit-level missing data, disabling the analysis by intent-to-treat. We propose an approach based on multiple imputation of the missing responses, using the approximate Bayesian bootstrap to draw ignorable repeated imputations from the posterior predictive distribution of the missing data, stratifying by a balancing score for the observed responses prior to withdrawal. We apply the method and some variations to data from a large randomized trial of treatments for panic disorder, and compare the results to those obtained by the original analysis that used the standard (endpoint) method.

    View details for Web of Science ID A1995RU28600006

    View details for PubMedID 8532984

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