Population‐calibrated multiple imputation for a binary/categorical covariate in categorical regression models
نویسندگان
چکیده
منابع مشابه
Missing Binary Covariate Data and Imputation in Regression Models
This paper presents a simple way to handle missing values in categorical covariates, namely conditional probability imputation . Properties of this technique are given for various patterns of missing data in regression studies . An example shows its use in the proportional hazards model . The probability imputation technique is furthermore compared with multiple imputation and model-based appro...
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We are concerned with multiple imputation of the ratio of two variables, which is to be used as a covariate in a regression analysis. If the numerator and denominator are not missing simultaneously, it seems sensible to make use of the observed variable in the imputation model. One such strategy is to impute missing values for the numerator and denominator, or the log-transformed numerator and ...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2018
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.8004