APA (7th ed.) Citation

Heiling, H. M., Rashid, N. U., Li, Q., Peng, X. L., Yeh, J. J., & Ibrahim, J. G. (2024). Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects. Biometrics, 80(1), 1. https://doi.org/10.1093/biomtc/ujae016

Chicago Style (17th ed.) Citation

Heiling, Hillary M., Naim U. Rashid, Quefeng Li, Xianlu L. Peng, Jen Jen Yeh, and Joseph G. Ibrahim. "Efficient Computation of High-dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects." Biometrics 80, no. 1 (2024): 1. https://doi.org/10.1093/biomtc/ujae016.

MLA (9th ed.) Citation

Heiling, Hillary M., et al. "Efficient Computation of High-dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects." Biometrics, vol. 80, no. 1, 2024, p. 1, https://doi.org/10.1093/biomtc/ujae016.