APA (7th ed.) Citation

Ji, L., Chen, M., Oravecz, Z., Cummings, E. M., Lu, Z., & Chow, S. (2020). A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural equation modeling, 27(3), 442-467. https://doi.org/10.1080/10705511.2019.1623681

Chicago Style (17th ed.) Citation

Ji, Linying, Meng Chen, Zita Oravecz, E. Mark Cummings, Zhao-Hua Lu, and Sy-Miin Chow. "A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes." Structural Equation Modeling 27, no. 3 (2020): 442-467. https://doi.org/10.1080/10705511.2019.1623681.

MLA (9th ed.) Citation

Ji, Linying, et al. "A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes." Structural Equation Modeling, vol. 27, no. 3, 2020, pp. 442-467, https://doi.org/10.1080/10705511.2019.1623681.