Missing data: An update on the state of the art.
CK Enders - Psychological Methods, 2023 - psycnet.apa.org
The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled
“Missing data: Our view of the state of the art,” currently the most highly cited paper in the …
“Missing data: Our view of the state of the art,” currently the most highly cited paper in the …
Investigating intraindividual pain variability: methods, applications, issues, and directions
Pain is a dynamic experience subject to substantial individual differences. Intensive
longitudinal designs best capture the dynamical ebb and flow of the pain experience across …
longitudinal designs best capture the dynamical ebb and flow of the pain experience across …
A comparison of multiple imputation methods for missing data in longitudinal studies
Background Multiple imputation (MI) is now widely used to handle missing data in
longitudinal studies. Several MI techniques have been proposed to impute incomplete …
longitudinal studies. Several MI techniques have been proposed to impute incomplete …
[图书][B] Flexible imputation of missing data
S Van Buuren - 2018 - books.google.com
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or
mean imputation, only work under highly restrictive conditions, which are often not met in …
mean imputation, only work under highly restrictive conditions, which are often not met in …
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 …
Association of ischemic stroke incidence, severity, and recurrence with dementia in the atherosclerosis risk in communities cohort study
S Koton, JR Pike, M Johansen, DS Knopman… - JAMA …, 2022 - jamanetwork.com
Importance Ischemic stroke is associated with increased risk of dementia, but the
association of stroke severity and recurrence with risk of impaired cognition is not well …
association of stroke severity and recurrence with risk of impaired cognition is not well …
[图书][B] Multilevel and longitudinal modeling with IBM SPSS
This book demonstrates how to use multilevel and longitudinal modeling techniques
available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide …
available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide …
A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.
Despite the broad appeal of missing data handling approaches that assume a missing at
random (MAR) mechanism (eg, multiple imputation and maximum likelihood estimation) …
random (MAR) mechanism (eg, multiple imputation and maximum likelihood estimation) …
[图书][B] An introduction to multilevel modeling techniques: MLM and SEM approaches
Multilevel modelling is a data analysis method that is frequently used to investigate
hierarchal data structures in educational, behavioural, health, and social sciences …
hierarchal data structures in educational, behavioural, health, and social sciences …
Online programs improve relationship functioning for distressed low-income couples: Results from a nationwide randomized controlled trial.
Objective: Although low-income couples experience greater relationship challenges, they
have limited access to effective relationship interventions. Furthermore, most previous efforts …
have limited access to effective relationship interventions. Furthermore, most previous efforts …