| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2022―May―17 |
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting |
Bin Yu, Chandan Singh |
| 2 |
[GO] |
2022―May―17 |
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion |
Maria Jahja, Andrew Chin, Ryan J. Tibshirani |
| 3 |
[GO] |
2022―May―17 |
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic |
Saskia Comess, Hannah Wang, Susan Holmes, Claire Donnat |
| 4 |
[GO] |
2022―May―17 |
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection |
Xihong Lin |
| 5 |
[GO] |
2022―May―17 |
Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring |
Zitong Wang, Mary Grace Bowring, Antony Rosen, Brian Garibaldi, Scott Zeger, Akihiko Nishimura |
| 6 |
[GO] |
2022―May―17 |
Statistical Challenges in Tracking the Evolution of SARS-CoV-2 |
Lorenzo Cappello, Jaehee Kim, Sifan Liu, Julia A. Palacios |
| 7 |
[GO] |
2022―May―17 |
Being a Public Health Statistician During a Global Pandemic |
Bhramar Mukherjee |
| 8 |
[GO] |
2022―May―17 |
Data Science in a Time of Crisis: Lessons from the Pandemic |
Chiara Sabatti, John M. Chambers |
| 9 |
[GO] |
2022―May―17 |
Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality |
George Nicholson, Marta Blangiardo, Mark Briers, Peter J. Diggle, Tor Erlend Fjelde, Hong Ge, et al. (+9) Robert J. B. Goudie, Radka Jersakova, Ruairidh E. King, Brieuc C. L. Lehmann, Ann-Marie Mallon, Tullia Padellini, Yee Whye Teh, Chris Holmes, Sylvia Richardson |
