Cite
A case study: Assessing the efficacy of the revised dosage regimen via prediction model for recurrent event rate using biomarker data.
MLA
Youn, Ahrim, et al. “A Case Study: Assessing the Efficacy of the Revised Dosage Regimen via Prediction Model for Recurrent Event Rate Using Biomarker Data.” Pharmaceutical Statistics, vol. 23, no. 4, July 2024, pp. 570–84. EBSCOhost, https://doi.org/10.1002/pst.2362.
APA
Youn, A., Chi, J., Cui, Y., & Quan, H. (2024). A case study: Assessing the efficacy of the revised dosage regimen via prediction model for recurrent event rate using biomarker data. Pharmaceutical Statistics, 23(4), 570–584. https://doi.org/10.1002/pst.2362
Chicago
Youn, Ahrim, Jiarui Chi, Yue Cui, and Hui Quan. 2024. “A Case Study: Assessing the Efficacy of the Revised Dosage Regimen via Prediction Model for Recurrent Event Rate Using Biomarker Data.” Pharmaceutical Statistics 23 (4): 570–84. doi:10.1002/pst.2362.