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Article

Improved conditional imputation for linear regression with a randomly censored predictor.

Statistical methods in medical research - 1 Feb 2019

Atem Folefac D, Sampene Emmanuel, Greene Thomas J

Abstract excerpt

This article describes a nonparametric conditional imputation analytic method for randomly censored covariates in linear regression. While some existing methods make assumptions about the distribution of covariates or underestimate standard error due to lack of imputation error, the proposed approach is distribution-free and utilizes resampling to correct for variance underestimation. The performance of the novel...

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PMID: 28830304
DOI: 10.1177/0962280217727033
PMCID: PMC5826819

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