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Activity Number:
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172
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #305300 |
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Title:
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Quantile Regression for the Decline of Lung Function in COPD Patients: A Longitudinal Study with Drop-Out
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Author(s):
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Dacheng Liu*+
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Companies:
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Boehringer Ingelheim Pharmaceuticals, Inc.
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Address:
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900 Ridgebury Rd, Ridgefield, CT, 06877,
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Keywords:
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Missing data ; clinical trial ; quantile regression ; inverse weighting ; GEE ; missing at random
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Abstract:
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Patients with Chronic obstructive pulmonary disease (COPD) experience a decline in lung function and worsening of quality of life. It is of scientific interest to study such decline pattern in the COPD population. In recent years, quantile regression has been applied to longitudinal data, in the line of quasi-likelihood/generalized estimating equation (GEE), or likelihood/regularization. We apply quantile regression with the GEE approach to a clinical trial data from a large longitudinal study. The use of quantile regression is complicated with the dropouts as GEE is consistent under missing completely at random, and it is evident that the dropout pattern in this trial deviates from this assumption. we adopt the inverse weighting strategy to account for drop-out.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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