Multiple imputation as a flexible tool for missing data handling in clinical research
CK Enders - Behaviour research and therapy, 2017 - Elsevier
The last 20 years has seen an uptick in research on missing data problems, and most
software applications now implement one or more sophisticated missing data handling …
software applications now implement one or more sophisticated missing data handling …
Job loss and lower healthcare utilisation due to COVID-19 among older adults across 27 European countries
GK Jiskrova, M Bobák, H Pikhart… - J Epidemiol Community …, 2021 - jech.bmj.com
Background Older adults are at greater risk for becoming severely ill from COVID-19;
however, the impact of the pandemic on their economic activity and non-COVID-19-related …
however, the impact of the pandemic on their economic activity and non-COVID-19-related …
Efficacy of an internet and app-based gratitude intervention in reducing repetitive negative thinking and mechanisms of change in the intervention's effect on anxiety …
Repetitive negative thinking (RNT) has been identified as a transdiagnostic process that is
involved in various forms of psychopathology, including anxiety and depression. This …
involved in various forms of psychopathology, including anxiety and depression. This …
[HTML][HTML] A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis
Background Missing data is a pervasive problem in longitudinal data analysis. Several
single-imputation (SI) and multiple-imputation (MI) approaches have been proposed to …
single-imputation (SI) and multiple-imputation (MI) approaches have been proposed to …
[HTML][HTML] Language quality, content, structure: What analytic ratings tell us about EFL writing skills at upper secondary school level in Germany and Switzerland
Argumentative writing in English as a foreign language (EFL) is an important skill in upper
secondary education in Germany and Switzerland. This article provides insights into …
secondary education in Germany and Switzerland. This article provides insights into …
The relationship between brain structure and general psychopathology in preadolescents
Background An emerging body of literature has indicated that broad, transdiagnostic
dimensions of psychopathology are associated with alterations in brain structure across the …
dimensions of psychopathology are associated with alterations in brain structure across the …
An investigation of factored regression missing data methods for multilevel models with cross-level interactions
A growing body of literature has focused on missing data methods that factorize the joint
distribution into a part representing the analysis model of interest and a part representing the …
distribution into a part representing the analysis model of interest and a part representing the …
A comparison of multilevel imputation schemes for random coefficient models: fully conditional specification and joint model imputation with random covariance …
Literature addressing missing data handling for random coefficient models is particularly
scant, and the few studies to date have focused on the fully conditional specification …
scant, and the few studies to date have focused on the fully conditional specification …
Four types of change and self‐other agreement on change in personality traits during college years: A multi‐informant longitudinal study
Research in personality trait change has largely relied on mean‐level and rank‐order
change across the lifespan. The current research expanded the literature in several ways …
change across the lifespan. The current research expanded the literature in several ways …
[HTML][HTML] Multiple imputation validation study: addressing unmeasured survey data in a longitudinal design
Background Questionnaires used in longitudinal studies may have questions added or
removed over time for numerous reasons. Data missing completely at a follow-up survey is a …
removed over time for numerous reasons. Data missing completely at a follow-up survey is a …