Bias and Sensitivity Analysis When Estimating Treatment Effects from the Cox Model with Omitted Covariates

Author:

Lin Nan Xuan12,Logan Stuart1,Henley William Edward12

Affiliation:

1. Institute of Health ResearchUniversity of Exeter Medical SchoolExeterU.K.

2. Centre for Health and Environmental StatisticsUniversity of PlymouthPlymouthU.K.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Reference17 articles.

1. Why we need observational studies to evaluate the effectiveness of health care

2. Discussion of the paper by D. R. Cox;Breslow N. E.;J R Statist, Soc B,1972

3. Sous‐estimation des contrastes due a l'oubli de variables pertinentes dans le modele de Cox pour des durees de survie avec censure;Bretagnolle J.;C.R.A.S.,1985

4. A quantitative study of the bias in estimating the treatment effect caused by omitting a balanced covariate in survival models

5. Supplementation with antioxidants and folinic acid for children with Down’s syndrome: randomised controlled trial

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