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This paper considers Cox regression analysis when some covariates are possibly contaminated with a mixture of Berkson and classical errors. We propose a simulation extrapolation-based method to address this problem when two replicates of the mismeasured covariates are available along with calibration data for some subjects in a subsample only. The proposed method places no assumption on the mixture percentage. Its finite-sample performance is assessed through a simulation study. It is applied to the analysis of data from an AIDS clinical trial study.<\/jats:p>","DOI":"10.1515\/ijb-2018-0028","type":"journal-article","created":{"date-parts":[[2019,4,6]],"date-time":"2019-04-06T22:49:38Z","timestamp":1554590978000},"source":"Crossref","is-referenced-by-count":4,"title":["Simulation Extrapolation Method for Cox Regression Model with a Mixture of Berkson and Classical Errors in the Covariates using Calibration Data"],"prefix":"10.1515","volume":"15","author":[{"given":"Jean de Dieu","family":"Tapsoba","sequence":"first","affiliation":[{"name":"Vaccine and Infectious Disease Division , Fred Hutchinson Cancer Research Center , Seattle , Washington 98109 , U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward C.","family":"Chao","sequence":"additional","affiliation":[{"name":"Data Numerica Institute , Bellevue , Washington 98006 , U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ching-Yun","family":"Wang","sequence":"additional","affiliation":[{"name":"Division of Public Health Sciences , Fred Hutchinson Cancer Research Center , Seattle , Washington 98109 , U.S.A."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2019,4,6]]},"reference":[{"key":"2025121208564063406_j_ijb-2018-0028_ref_001_w2aab3b7e4490b1b6b1ab2b1b1Aa","doi-asserted-by":"crossref","unstructured":"Cox DR. 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