Linear regression with censored data

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ID: 299000
1979
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Ranked #126 of 188 articles by views in jurnal biometrika dan kependudukan

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Abstract
We give a method of estimating parameters in the linear regression model which allowB the dependent variable to be censored and the residual distribution to be unspecified. The method differs from that of Miller (1976) in that the normal equations rather than the sum of squares of residuals are modified and this appears to overcome the inconsistency problems in Miller's approach. Large sample properties of the estimator of slope are derived heuristically and substantiated by simulations. Some of the heart transplant data reported and analysed by Miller are reanalysed using the present method.
Reference Key
openalex_W2083972068 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jonathan D. Buckley, Ian James
Journal jurnal biometrika dan kependudukan
Year 1979
DOI
10.1093/biomet/66.3.429
URL
https://doi.org/10.1093/biomet/66.3.429
Keywords Keywords not found

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