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Functional Assessment of Cancer Therapy (FACT-G): Non-response to individual questions
Authors:D L Fairclough  D F Cella
Institution:(1) Division of Biostatistics, Dana Farber Cancer Institute, 44 Binney St, 02115 Boston, MA, USA;(2) Department of Biostatistics, Harvard School of Public Health, 44 Binney St, 02115 Boston, MA, USA;(3) Rush-Presbyterian-St Luke's Medical Center, 1725 West Harrison Street, 60612 Chicago, IL, USA
Abstract:The purpose of this investigation is to examine methods of scoring the FACT-G when there is nonresponse to individual questions. Using completed questionnaires from 350 patients, random and nonrandom missing responses where simulated. Seven methods of scoring the FACT-G are compared on the basis of accuracy (bias and precision) of both population estimates and prediction of individual scores. Substituting the mean of the completed items in the subscale when more than 50% are completed is generally the most unbiased and precise approach. Case deletion is the worst approach and results in clinically significant bias when the missing responses were non-random and a lack of precision when the rate of non-response was high.Supported by grants from the National Cancer Institute, DHHSCA-23318, CA-51926, and American Cancer Society #PBR6132.
Keywords:Imputation  missing data  non-response  quality of life
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