Evaluation of multi-parameter test statistics for multiple imputation
Y Liu, CK Enders - Multivariate Behavioral Research, 2017 - Taylor & Francis
… , briefly reviewing the three phases in multiple imputation, the … various multiple imputation
multi-parameter test statistics, and review the limited existing literature on these test statistics. …
multi-parameter test statistics, and review the limited existing literature on these test statistics. …
Multiple imputation
DB Rubin - Flexible Imputation of Missing Data, Second Edition, 2018 - taylorfrancis.com
… context of multi-parameter or simultaneous inference, where we evaluate combinations of
… will see in Section 2.6 that it is not a suitable metric to evaluate multiple imputation methods. …
… will see in Section 2.6 that it is not a suitable metric to evaluate multiple imputation methods. …
Local multiple imputation
M Aerts, G Claeskens, N Hens, G Molenberghs - Biometrika, 2002 - academic.oup.com
… The other two methods are those studied in this paper, namely multiple imputation by local
resampling or local semiparametric resampling, employing different sets of local weights w …
resampling or local semiparametric resampling, employing different sets of local weights w …
Multiple imputation as a flexible tool for missing data handling in clinical research
CK Enders - Behaviour research and therapy, 2017 - Elsevier
… multiple imputation. Although maximum likelihood estimation is perhaps the easiest method
to use in practice, psychological data … Evaluating a single estimate is done using the familiar …
to use in practice, psychological data … Evaluating a single estimate is done using the familiar …
A comparison of FIML-versus multiple-imputation-based methods to test measurement invariance with incomplete ordinal variables
Y Liu, S Sriutaisuk - Structural Equation Modeling: A …, 2021 - Taylor & Francis
… have missing data. We focus on multi-parameter tests, in line with the standard procedure
of … First, we provide a review of the challenges raised by missing responses on ordinal …
of … First, we provide a review of the challenges raised by missing responses on ordinal …
A multiple imputation score test for model modification in structural equation models.
M Mansolf, TD Jorgensen, CK Enders - Psychological methods, 2020 - psycnet.apa.org
… Second, we provide a brief review of, and rationale for, multiple imputation in the SEM context.
Third, we describe the score test for multiply imputed data. To ensure that the exposition is …
Third, we describe the score test for multiply imputed data. To ensure that the exposition is …
[HTML][HTML] Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis
… multiple imputation. Specifically type I error control and power after MI in a large simulation
study will be evaluated. … least equal power as the multi parameter tests that are currently used …
study will be evaluated. … least equal power as the multi parameter tests that are currently used …
[图书][B] Flexible imputation of missing data
S Van Buuren - 2018 - books.google.com
… I believe the time is ripe for multiple imputation to enter mainstream statistics. Computers and
… Before we review a number of simple fixes for the missing data in Section 1.3 let us take a …
… Before we review a number of simple fixes for the missing data in Section 1.3 let us take a …
Multiple imputation by chained equations for systematically and sporadically missing multilevel data
M Resche-Rigon, IR White - Statistical methods in medical …, 2018 - journals.sagepub.com
… In section 4, we evaluate the performance of the multilevel imputation algorithms in
multilevel MICE. We illustrate the methods in an IPD meta-analysis in cardiovascular disease in …
multilevel MICE. We illustrate the methods in an IPD meta-analysis in cardiovascular disease in …
Assessing the fit of structural equation models with multiply imputed data.
CK Enders, M Mansolf - Psychological methods, 2018 - psycnet.apa.org
… First, we give a brief review of multiple imputation, focusing primarily on Rubin’s (1987a)
pooling rules and single-parameter inference. Second, we give a detailed overview of the Wald …
pooling rules and single-parameter inference. Second, we give a detailed overview of the Wald …