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Joost R. van Ginkel

Researcher at Leiden University

Publications -  41
Citations -  1569

Joost R. van Ginkel is an academic researcher from Leiden University. The author has contributed to research in topics: Missing data & Imputation (statistics). The author has an hindex of 18, co-authored 37 publications receiving 1208 citations. Previous affiliations of Joost R. van Ginkel include University Medical Center Utrecht & University of Amsterdam.

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Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data

TL;DR: This article provides applied researchers with practical arguments supporting them in the use of multiple imputation, and aims specifically at rebutting these misconceptions about this method.
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Looking Beyond Posttraumatic Stress Disorder in Children: Posttraumatic Stress Reactions, Posttraumatic Growth, and Quality of Life in a General Population Sample

TL;DR: Clinicians should look further than PTSD alone and pay attention to the broad range of posttraumatic stress reactions that children show, their experience of post traumatic growth, and their quality of life.
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Analysis of Variance of Multiply Imputed Data

TL;DR: This article outlines the appropriate procedure for the results of analysis of variance (ANOVA) for multiply imputed data sets using both reformulation of the ANOVA model as a regression model using effect coding of the predictors and applying already existing combination rules for regression models.
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Multiple imputation of incomplete categorical data using latent class analysis

TL;DR: The proposed multiple imputation method, which is implemented in Latent GOLD software for latent class analysis, is illustrated with two examples and compared to well-established methods such as maximum likelihood estimation with incomplete data and multiple imputations using a saturated log-linear model.