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Activity Number:
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438
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305070 |
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Title:
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Prediction of Functional Status for the Elderly Based on Double Indexed TORQUE
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Author(s):
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Hyokyoung (Grace) Hong*+ and Jianhui Zhou and Xuming He
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Companies:
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Baruch College and University of Virginia and University of Illinois at Urbana-Champaign
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Address:
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The City University of New York, One Bernard Baruch Way, New York, NY, 10010,
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Keywords:
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Ordinal data ; Quantile regression ; Second Longitudinal Study of Aging ; Double-index model
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Abstract:
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The functional mobility of the elderly is a very important factor in aging research, and the prognostic information is valuable in making clinical and health care policy decisions. We develop a predictive model for the functional status of the elderly based on data from the Second Longitudinal Study of Aging. The functional status is an ordinal response variable. We focus on the prediction of conditional quantiles of the functional status based on a transformed ordinal quantile regression (TORQUE) model by allowing some additional indices to enter the model in a nonparametric fashion. A cross-validation within the LSOA II data shows that our proposed model is more informative and efficient than the single indexed TORQUE in terms of the predictions of the functional status.
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