CN Wang, R Little, B Nan… - Biometrics, 2011 - Wiley Online Library Summary. We propose a regression-based hot-deck multiple imputation method for gaps of missing data in longitudinal studies, where subjects experience a recurrent event process and a terminal event. Examples are repeated asthma episodes and death, or menstrual periods and ... Related articles - All 2 versions
N Schenker, LG Borrud, VL Burt… - Statistics in …, 2011 - Wiley Online Library ... To make this assumption more tenable, transformations were used for the DXA variables in the imputationprocedure. After multiple imputations were created on the transformed scales, the imputed values were back-transformed to their original scales. ... Cited by 3 - Related articles - All 4 versions
CK Enders… - Structural Equation Modeling, 2011 - Taylor & Francis ... Under an MAR mechanism, any single data set from a multipleimputationprocedure yields unbiased estimates of the population parameters (Schafer, 199727. Schafer, JL 1997. Analysis of incomplete multivariate data. London: Chapman & Hall.. ... Cited by 1 - Related articles - All 2 versions
PS Brenner - Journal for the Scientific Study of Religion, 2011 - Wiley Online Library ... A time diary measure of attendance (from the American Time Use Study 2003–2008) is imputed for conventional survey data (from the General Social Survey 2002–2008) using the multiple imputation for multiple studies procedure (Gelman, King, and Liu 1998a). ... Cited by 3 - Related articles - All 3 versions
IR White, P Royston… - Statistics in medicine, 2011 - Wiley Online Library ... of imputation model are discussed in Section 2. Methods for multiple incomplete variables are ... regression parameters and their corresponding covariance matrix from fitting the imputation model. ... This process is known as proper imputation because it incorporates all sources of ... Cited by 4 - Related articles - All 3 versions
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