Combining Multiple Imputation and Inverse‐Probability Weighting
نویسندگان
چکیده
منابع مشابه
Combining Multiple Imputation and Inverse-Probability Weighting
Two approaches commonly used to deal with missing data are multiple imputation (MI) and inverse-probability weighting (IPW). IPW is also used to adjust for unequal sampling fractions. MI is generally more efficient than IPW but more complex. Whereas IPW requires only a model for the probability that an individual has complete data (a univariate outcome), MI needs a model for the joint distribut...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2011
ISSN: 0006-341X,1541-0420
DOI: 10.1111/j.1541-0420.2011.01666.x