Cox regression with survival‐time‐dependent missing covariate values
نویسندگان
چکیده
منابع مشابه
Imputing missing covariate values for the Cox model
Multiple imputation is commonly used to impute missing data, and is typically more efficient than complete cases analysis in regression analysis when covariates have missing values. Imputation may be performed using a regression model for the incomplete covariates on other covariates and, importantly, on the outcome. With a survival outcome, it is a common practice to use the event indicator D ...
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Missing covariate values is a common problem in a survival data research. The aim of this study is to compare the use of the multiple imputation (MI) and last observation carried forward (LOCF) methods for handling missing covariate values in the Cox proportional hazards (PH) regression model. The comparisons between the methods are based on simulated data. The missingness mechanism is assumed ...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2019
ISSN: 0006-341X,1541-0420
DOI: 10.1111/biom.13155