Wang, Lijia, Wang, Y. X., Li, Jingyi Jessica, and Tong, Xin. Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data. Retrieved from https://par.nsf.gov/biblio/10503861. Journal of the American Statistical Association 119.545 Web. doi:10.1080/01621459.2023.2270657.

Wang, Lijia, Wang, Y. X., Li, Jingyi Jessica, & Tong, Xin. Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data. Journal of the American Statistical Association, 119 (545). Retrieved from https://par.nsf.gov/biblio/10503861. https://doi.org/10.1080/01621459.2023.2270657

Wang, Lijia, Wang, Y. X., Li, Jingyi Jessica, and Tong, Xin. "Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data". Journal of the American Statistical Association 119 (545). Country unknown/Code not available: Taylor & Francis. https://doi.org/10.1080/01621459.2023.2270657. https://par.nsf.gov/biblio/10503861.

@article{osti_10503861,
place = {Country unknown/Code not available}, title = {Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data}, url = {https://par.nsf.gov/biblio/10503861}, DOI = {10.1080/01621459.2023.2270657}, abstractNote = {}, journal = {Journal of the American Statistical Association}, volume = {119}, number = {545}, publisher = {Taylor & Francis}, author = {Wang, Lijia and Wang, Y. X. and Li, Jingyi Jessica and Tong, Xin}, }