ArticleStructural equation modeling : a multidisciplinary journal2020
A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes.
Article in Structural equation modeling : a multidisciplinary journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.Behavior research methods · 2026Article
- Within- and Between-Individual Compliance in Mobile Health: Joint Modeling Approach to Nonrandom Missingness in an Intensive Longitudinal Observational Study.JMIR mHealth and uHealth · 2025Observational
- Early-Life Factors and Body Mass Index Trajectories Among Children in the ECHO Cohort.JAMA network open · 2025Article
- Healthy Mom Zone Adaptive Intervention With a Novel Control System and Digital Platform to Manage Gestational Weight Gain in Pregnant Women With Overweight or Obesity: Study Design and Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations.Structural equation modeling : a multidisciplinary journal · 2025Article
- Dynamic Structural Equation Models with Missing Data: Data Requirements onStructural equation modeling : a multidisciplinary journal · 2024Article
- Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter.The British journal of mathematical and statistical psychology · 2023Article
- Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data.Frontiers in digital health · 2023Article
- Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates.Psychometrika · 2022Article
- Fitting Multilevel Vector Autoregressive Models in Stan, JAGS, and Mplus.Structural equation modeling : a multidisciplinary journal · 2022Article
- Low-Burden Mobile Monitoring, Intervention, and Real-Time Analysis Using the Wear-IT Framework: Example and Usability Study.JMIR formative research · 2020Article
- Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal Designs.Multivariate behavioral researchArticle
- Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators.Multivariate behavioral researchArticle
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Authors and funding
6 authors.
Funding
Abstract
Intensive longitudinal designs involving repeated assessments of constructs often face the problems of nonignorable attrition and selected omission of responses on particular occasions. However, time series models, such as vector autoregressive (VAR) models, are often fit to these data without consideration of nonignorable missingness. We introduce a Bayesian model that simultaneously represents the over-time dependencies in multivariate, multiple-subject time series data via a VAR model, and possible ignorable and nonignorable missingness in the data. We provide software code for implementing this model with application to an empirical data set. Moreover, simulation results comparing the joint approach with two-step multiple imputation procedures are included to shed light on the relative strengths and weaknesses of these approaches in practical data analytic scenarios.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.