| An open challenge to advance probabilistic forecasting for dengue epidemics MA Johansson, KM Apfeldorf, S Dobson, J Devita, AL Buczak, B Baugher, ... Proceedings of the National Academy of Sciences 116 (48), 24268-24274, 2019 | 191 | 2019 |
| Flexible modeling of epidemics with an empirical Bayes framework LC Brooks, DC Farrow, S Hyun, RJ Tibshirani, R Rosenfeld PLoS computational biology 11 (8), e1004382, 2015 | 143 | 2015 |
| Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 CJ McGowan, M Biggerstaff, M Johansson, KM Apfeldorf, M Ben-Nun, ... Scientific reports 9 (1), 683, 2019 | 113 | 2019 |
| Results from the second year of a collaborative effort to forecast influenza seasons in the United States M Biggerstaff, M Johansson, D Alper, LC Brooks, P Chakraborty, ... Epidemics 24, 26-33, 2018 | 111 | 2018 |
| Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions LC Brooks, DC Farrow, S Hyun, RJ Tibshirani, R Rosenfeld PLoS computational biology 14 (6), e1006134, 2018 | 79 | 2018 |
| A human judgment approach to epidemiological forecasting DC Farrow, LC Brooks, S Hyun, RJ Tibshirani, DS Burke, R Rosenfeld PLoS computational biology 13 (3), e1005248, 2017 | 63 | 2017 |
| An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences 118 (51), e2111452118, 2021 | 48 | 2021 |
| Modeling the past, present, and future of influenza D Farrow Private Communication, Farrow’s work will be part of the published Phd …, 2016 | 22 | 2016 |
| Delphi epidata API DC Farrow, LC Brooks, A Rumack, RJ Tibshirani, R Rosenfeld The Lancet Infectious Diseases. https://github. com/cmu-delphi/delphi-epidata, 2015 | 19 | 2015 |
| Results from the second year of a collaborative effort to forecast influenza seasons in the United States. Epidemics. 2018; 24: 26–33 M Biggerstaff, M Johansson, D Alper, LC Brooks, P Chakraborty, ... Epub 2018/02/24. https://doi. org/10.1016/j. epidem. 2018.02. 003 PMID: 29506911, 0 | 15 | |
| Kalman filter, sensor fusion, and constrained regression: Equivalences and insights M Jahja, D Farrow, R Rosenfeld, RJ Tibshirani Advances in Neural Information Processing Systems 32, 2019 | 13 | 2019 |
| Compensatory Mutations in Predicted Metal Transporters Modulate Auxin Conjugate Responsiveness in Arabidopsis RA Rampey, MT Baldridge, DC Farrow, SN Bay, B Bartel G3: Genes| Genomes| Genetics 3 (1), 131-141, 2013 | 13 | 2013 |
| Wichada La Motte-Kerr, Yeon Jin Lee, Kenneth Lee, Zachary C A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... medRxiv, 2021 | 6 | 2021 |
| Computational characterization of transient strain-transcending immunity against influenza A DC Farrow, DS Burke, R Rosenfeld PloS one 10 (5), e0125047, 2015 | 3 | 2015 |
| Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams In Tracking the COVID-19 Pandemic: An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences of the United States of …, 2021 | 1 | 2021 |
| Theses by Author A ALAVI, S BANG, TE BUCK, SA CHOWDHURY, LP COELHO, ... | | |
| AHMED, Amr CMU-CB-09-101 ALAVI, Amir CMU-CB-21-102 ARNOLD, Andrew CMU-CB-09-101 BANG, Seojin CMU-CB-20-100 TE BUCK, SA CHOWDHURY, LP COELHO, W COHEN, RE CURTIS, ... | | |
| CMU-CB-16-101 Computational methods for exploring gene regulation mechanisms using high-throughput sequencing data D Farrow | | |
