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Jagpreet Chhatwal
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2020 – today
- 2024
- [j5]Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson:
Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. 20(5): 1011200 (2024) - [i4]Rachael Fleurence, Jiang Bian, Xiaoyan Wang, Hua Xu, Dalia Dawoud, Mitch Higashi, Jagpreet Chhatwal:
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations. CoRR abs/2407.11054 (2024) - [i3]Rachael Fleurence, Xiaoyan Wang, Jiang Bian, Mitch Higashi, Turgay Ayer, Hua Xu, Dalia Dawoud, Jagpreet Chhatwal:
Generative AI in Health Economics and Outcomes Research: A Taxonomy of Key Definitions and Emerging Applications, an ISPOR Working Group Report. CoRR abs/2410.20204 (2024) - 2023
- [i2]Zhaowei She, Zilong Wang, Jagpreet Chhatwal, Turgay Ayer:
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection. CoRR abs/2312.04110 (2023) - 2020
- [i1]Zhaowei She, Zilong Wang, Turgay Ayer, Asmae Toumi, Jagpreet Chhatwal:
Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests. CoRR abs/2011.01219 (2020)
2010 – 2019
- 2019
- [j4]Turgay Ayer, Can Zhang, Anthony Bonifonte, Anne C. Spaulding, Jagpreet Chhatwal:
Prioritizing Hepatitis C Treatment in U.S. Prisons. Oper. Res. 67(3): 853-873 (2019) - 2018
- [j3]Qiushi Chen, Turgay Ayer, Jagpreet Chhatwal:
Optimal M-Switch Surveillance Policies for Liver Cancer in a Hepatitis C-Infected Population. Oper. Res. 66(3): 673-696 (2018) - 2013
- [j2]Oguzhan Alagöz, Jagpreet Chhatwal, Elizabeth S. Burnside:
Optimal Policies for Reducing Unnecessary Follow-Up Mammography Exams in Breast Cancer Diagnosis. Decis. Anal. 10(3): 200-224 (2013) - 2010
- [j1]Jagpreet Chhatwal, Oguzhan Alagöz, Elizabeth S. Burnside:
Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors. Oper. Res. 58(6): 1577-1591 (2010)
Coauthor Index
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last updated on 2024-12-04 20:13 CET by the dblp team
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