Cox regression model with randomly censored covariates

Author:

Atem Folefac D.1ORCID,Matsouaka Roland A.23,Zimmern Vincent E.45

Affiliation:

1. Department of Biostatistics and Data ScienceUniversity of Texas Health Science Center at HoustonHouston TX USA

2. Department of Biostatistics and BioinformaticsDuke UniversityDurham NC USA

3. Program for Comparative Effectiveness MethodologyDuke Clinical Research InstituteDuke UniversityDurham NC USA

4. Department of PediatricsUniversity of Texas Southwestern Medical SchoolDallas TX USA

5. Department of PediatricsChildren Hospital DallasDallas TX USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference48 articles.

1. Atem F. &Matsouaka R. A.(2017).Linear regression model with a randomly censored predictor: Estimation procedures.arXiv:1710.08349.

2. Multiple imputation of a randomly censored covariate improves logistic regression analysis;Atem F. D.;Journal of Applied Statistics,2016

3. Linear regression with a randomly censored covariate: Application to an alzheimer's study;Atem F. D.;Journal of the Royal Statistical Society: Series C (Applied Statistics),2017

4. Improved conditional imputation for linear regression with a randomly censored predictor;Atem F. D.;Statistical Methods in Medical Research,2017

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