APA (7th ed.) Citation

Wu, J., Chen, M., Schifano, E. D., Ibrahim, J. G., & Fisher, J. D. (2019). A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials. Statistics in medicine, 38(30), 5565-5586. https://doi.org/10.1002/sim.8379

Chicago Style (17th ed.) Citation

Wu, Jing, Ming‐Hui Chen, Elizabeth D. Schifano, Joseph G. Ibrahim, and Jeffrey D. Fisher. "A New Bayesian Joint Model for Longitudinal Count Data with Many Zeros, Intermittent Missingness, and Dropout with Applications to HIV Prevention Trials." Statistics in Medicine 38, no. 30 (2019): 5565-5586. https://doi.org/10.1002/sim.8379.

MLA (9th ed.) Citation

Wu, Jing, et al. "A New Bayesian Joint Model for Longitudinal Count Data with Many Zeros, Intermittent Missingness, and Dropout with Applications to HIV Prevention Trials." Statistics in Medicine, vol. 38, no. 30, 2019, pp. 5565-5586, https://doi.org/10.1002/sim.8379.