A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes - Ji, Linying; Chen, Meng; Oravecz, Zita; Cummings, E. Mark; Lu, Zhao-Hua; Chow, Sy-Miin (Structural equation modeling, 2020)
Keywords: Bayesian analysis; Bayesian vector autoregressive model; Dependent variables; Intensive longitudinal data; Missing data; Multiple imputation; Nonignorable missing data; Time series; Intensive longitudinal data; Bayesian vector autoregressive model; Multiple imputation; Nonignorable missing data