APA (7th ed.) Citation
Wang, J., Wang, P., Hedeker, D., & Chen, L. S. (2019). Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingness. Biostatistics, 20(4), 648-666.
Chicago Style (17th ed.) Citation
Wang, Jiebiao, Pei Wang, Donald Hedeker, and Lin S. Chen. "Using Multivariate Mixed-effects Selection Models for Analyzing Batch-processed Proteomics Data with Non-ignorable Missingness." Biostatistics 20, no. 4 (2019): 648-666.
MLA (9th ed.) Citation
Wang, Jiebiao, et al. "Using Multivariate Mixed-effects Selection Models for Analyzing Batch-processed Proteomics Data with Non-ignorable Missingness." Biostatistics, vol. 20, no. 4, 2019, pp. 648-666.
Warning: These citations may not always be 100% accurate.