… multiple imputation methods when handling missing EQ-5D … review and applied selected
APMs to RCT survival data in … incorporate external data (eg, Bayesian multiparameter evidence …

… In this thesis, we develop innovative multi-parameter order… In this section, we briefly review
the basic results under the … use a multiple imputation approach to address missing data. …

… data gaps and limited evaluation of the impacts on uncertainty in the reconstructed time series
when using various imputation … sensed and modeled data to fill data gaps. This MLR was …

… Using these two assessment methods, we provide … , we apply a method referred to as
multiple imputation (Rubin, 2004), … On the other hand, most multi-parameter retrieval algorithms …

… Assessment of model fit, and potential future developments of the software, are also … times
involves multiple imputation of the next scheduled observation time, these statistics and p …

… tools for multiple imputation of missing data in multilevel … as single- and multi-parameter
hypotheses tests can be performed … expr and evaluated with the imputed data in the "data" slot. If …

… One of these procedures involves multiple imputation (MI), … summary in MI via scalar and
multi-parameter inference. The goal of … The chapter ends with evaluation criteria such as bias, …

… on two distinct topics: multiple imputation and shrinkage … in multiple imputation and study the
relevant hypothesis testing … (Meng, 1994) of multiple imputation inference in light of a series …

… Thereafter, we present results before and after multiple imputation … on multi-parameter
hypothesis tests after MI using Wald tests … to missing data mechanism, we evaluated missing data …

… Methods We review 44 IPD meta-analyses published during the years 1999–2001. We
summarize whether they obtained all the data they sought, what types of approaches were used …