Bayesian Methods for Smart Designs with Re-Randomization Based on a Continuous Outcome and Estimating Survival Outcomes when COVID-19 Is a Competing Risk in Cancer Patients.
- 주제(키워드) Biostatistics , Biomedical engineering , Oncology , Pathology , Clinical trial , COVID-19 , Bayesian , Dynamic treatment regimen , Small sample , Coronavirus disease 2019
- 발행기관 University of Michigan
- 발행년도 2021
- 학위명 박사
- 학과 및 전공 Biostatistics
- ISBN 9798471101289
- UCI I804:11009-000000263455
- DOI 10.23186/korea.000000263455.11009.0001313
- 제출원본 PQDT28845207
