APA (7th ed.) Citation

Kaciroti, N. A., & Little, R. J. (2021). Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: A high dimensional pattern‐mixture model. Statistics in medicine, 40(21), 4609-4628. https://doi.org/10.1002/sim.9083

Chicago Style (17th ed.) Citation

Kaciroti, Niko A., and Roderick J.A Little. "Bayesian Sensitivity Analyses for Longitudinal Data with Dropouts That Are Potentially Missing Not at Random: A High Dimensional Pattern‐mixture Model." Statistics in Medicine 40, no. 21 (2021): 4609-4628. https://doi.org/10.1002/sim.9083.

MLA (9th ed.) Citation

Kaciroti, Niko A., and Roderick J.A Little. "Bayesian Sensitivity Analyses for Longitudinal Data with Dropouts That Are Potentially Missing Not at Random: A High Dimensional Pattern‐mixture Model." Statistics in Medicine, vol. 40, no. 21, 2021, pp. 4609-4628, https://doi.org/10.1002/sim.9083.