Test-Based Interval Estimation Under the Accelerated Failure Time Model |
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Authors: | Yichuan Zhao Yijian Huang |
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Affiliation: | 1. Department of Mathematics and Statistics , Georgia State University , Atlanta, Georgia, USA yzhao@mathstat.gsu.edu;3. Department of Biostatistics , School of Public Health, Emory University , Atlanta, Georgia, USA |
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Abstract: | Some new results of a distance—based (DB) model for prediction with mixed variables are presented and discussed. This model can be thought of as a linear model where predictor variables for a response Y are obtained from the observed ones via classic multidimensional scaling. A coefficient is introduced in order to choose the most predictive dimensions, providing a solution to the problem of small variances and a very large number n of observations (the dimensionality increases as n). The problem of missing data is explored and a DB solution is proposed. It is shown that this approach can be regarded as a kind of ridge regression when the usual Euclidean distance is used. |
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Keywords: | Confidence region Counting process Estimating equation Right-censoring Wilks's theorem |
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