JSM 2005 - Toronto

Abstract #303819

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 66
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: ENAR
Abstract - #303819
Title: Median Regression Analysis Using Left- and Right-censored Observations
Author(s): Sundar Subramanian*+
Companies: University of Maine
Address: 5752 Neville Hall, Orono, ME, 04469-5752, United States
Keywords: Curse of dimensionality ; Grid search ; Minimum dispersion statistic ; score statistic
Abstract:

Median regression models provide a robust alternative to regression models based on the mean. We introduce a methodology for fitting a median regression model from data with both left- and right-censored observations. The complete data least absolute deviation estimating function is modified to set up an enhanced estimating function for the regression parameter. We describe inference procedures for the regression parameter and provide numerical results in support of our procedure. We illustrate our methodology using a dataset obtained from a pediatric AIDS clinical trial.

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Revised March 2005