Using linear regression techniques with censored data

Smith, P 2004, 'Using linear regression techniques with censored data', International Journal of Reliability, Quality and Safety Engineering, vol. 11, no. 2, pp. 163-173.


Document type: Journal Article
Collection: Journal Articles

Title Using linear regression techniques with censored data
Author(s) Smith, P
Year 2004
Journal name International Journal of Reliability, Quality and Safety Engineering
Volume number 11
Issue number 2
Start page 163
End page 173
Total pages 11
Publisher World Scientific Publishing
Abstract In survival analysis, proportional hazards models are commonly used in a distribution-free way for regression where the response variable has been right-censored. However, often a simple linear model may be more appropriate for the data. We present an overview of the linear regression method of Buckley and James (1979) as an interesting distribution-free alternative. It is a method providing consistent parameter estimates, and, through simulation, has been successfully appraised in the literature in comparison to other regression methods. The model is fitted iteratively, and censored points in the scatterplot are moved to estimated positions as if they had been observed without censoring. In this paper we will concentrate on scatterplot effects, model fitting and diagnostics.
Keyword(s) Buckley-James method
Censored regression
Regression diagnostics
DOI - identifier 10.1142/S0218539304001427
Copyright notice World Scientific Publishing
ISSN 0218-5393
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