Cita APA (7a ed.)
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.
Cita Chicago Style (17a ed.)
Wang, Jiebiao, Pei Wang, Donald Hedeker, y 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.
Cita MLA (9a ed.)
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.
Precaución: Estas citas no son 100% exactas.