|
original article |
Journal |
Date |
Title |
Authors All Authors |
1 |
[GO] |
Brazilian Journal of Probability and Statistics |
2024―Mar―05 |
Some estimation procedures for Covid-19 suspected persons in a locality using randomized response model |
G. N. Singh, D. Bhattacharyya, A. Bandyopadhyay |
2 |
[GO] |
The Annals of Applied Statistics |
2024―Jan―31 |
Nonnegative tensor completion for dynamic counterfactual prediction on COVID-19 pandemic |
Yaoming Zhen, Junhui Wang |
3 |
[GO] |
The Annals of Applied Statistics |
2024―Jan―31 |
Change point detection in dynamic Gaussian graphical models: The impact of COVID-19 pandemic on the U.S. stock market |
Beatrice Franzolini, Alexandros Beskos, Maria De Iorio, Warrick Poklewski Koziell, Karolina Grzeszkiewicz |
4 |
[GO] |
The Annals of Applied Statistics |
2023―Oct―31 |
Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information |
Walter Dempsey |
5 |
[GO] |
The Annals of Applied Statistics |
2023―Oct―31 |
Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness |
Rob Trangucci, Yang Chen, Jon Zelner |
6 |
[GO] |
The Annals of Applied Statistics |
2023―Oct―31 |
Estimating Covid-19 transmission time using Hawkes point processes |
Frederic Schoenberg |
7 |
[GO] |
The Annals of Applied Statistics |
2023―Oct―31 |
Estimating COVID-19 vaccine protection rates via dynamic epidemiological models-a study of 10 countries |
Yuru Zhu, Jia Gu, Yumou Qiu, Song Xi Chen |
8 |
[GO] |
The Annals of Applied Statistics |
2023―Oct―31 |
Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology |
Bangyao Zhao, Yuan Zhong, Jian Kang, Lili Zhao |
9 |
[GO] |
The Annals of Applied Statistics |
2023―Sep―07 |
Real-time mechanistic Bayesian forecasts of COVID-19 mortality |
Graham C. Gibson, Nicholas G. Reich, Daniel Sheldon |
10 |
[GO] |
The Annals of Applied Statistics |
2023―May―01 |
Estimating global and country-specific excess mortality during the Covid-19 pandemic |
Victoria Knutson, Serge Aleshin-Guendel, Ariel Karlinsky, William Msemburi, Jon Wakefield |
11 |
[GO] |
The Annals of Applied Statistics |
2023―Jan―24 |
Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19 |
Bohai Zhang, Huiyan Sang, Zhao Tang Luo, Hui Huang |
12 |
[GO] |
The Annals of Applied Statistics |
2023―Jan―24 |
Social distancing and COVID-19: Randomization inference for a structured dose-response relationship |
Bo Zhang, Siyu Heng, Ting Ye, Dylan S. Small |
13 |
[GO] |
Bayesian Analysis |
2022―Oct―03 |
Regularised B-splines Projected Gaussian Process Priors to Estimate Time-trends in Age-specific COVID-19 Deaths |
Mélodie Monod, Alexandra Blenkinsop, Andrea Brizzi, Yu Chen, Carlos Cardoso Correia Perello, Vidoushee Jogarah, et al. (+4) Yuanrong Wang, Seth Flaxman, Samir Bhatt, Oliver Ratmann |
14 |
[GO] |
The Annals of Applied Statistics |
2022―Sep―27 |
Causal inference for the effect of mobility on COVID-19 deaths |
Matteo Bonvini, Edward H. Kennedy, Valerie Ventura, Larry Wasserman |
15 |
[GO] |
The Annals of Applied Statistics |
2022―Sep―27 |
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak |
Chih-Li Sung |
16 |
[GO] |
Statistical Science |
2022―May―17 |
Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting |
Bin Yu, Chandan Singh |
17 |
[GO] |
Statistical Science |
2022―May―17 |
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion |
Maria Jahja, Andrew Chin, Ryan J. Tibshirani |
18 |
[GO] |
Statistical Science |
2022―May―17 |
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic |
Saskia Comess, Hannah Wang, Susan Holmes, Claire Donnat |
19 |
[GO] |
Statistical Science |
2022―May―17 |
Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection |
Xihong Lin |
20 |
[GO] |
Statistical Science |
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 |
21 |
[GO] |
Statistical Science |
2022―May―17 |
Statistical Challenges in Tracking the Evolution of SARS-CoV-2 |
Lorenzo Cappello, Jaehee Kim, Sifan Liu, Julia A. Palacios |
22 |
[GO] |
Statistical Science |
2022―May―17 |
Being a Public Health Statistician During a Global Pandemic |
Bhramar Mukherjee |
23 |
[GO] |
Statistical Science |
2022―May―17 |
Data Science in a Time of Crisis: Lessons from the Pandemic |
Chiara Sabatti, John M. Chambers |
24 |
[GO] |
Statistical Science |
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 |
25 |
[GO] |
The Annals of Applied Statistics |
2022―Mar―29 |
Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic |
Harlan Campbell, Perry de Valpine, Lauren Maxwell, Valentijn M. T. de Jong, Thomas P. A. Debray, Thomas Jaenisch, Paul Gustafson |
26 |
[GO] |
The Annals of Applied Statistics |
2021―Mar―19 |
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic |
Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado, Rajen D. Shah |
27 |
[GO] |
The Annals of Applied Statistics |
2020―Apr―16 |
Efficient real-time monitoring of an emerging influenza pandemic: How feasible? |
Paul J. Birrell, Lorenz Wernisch, Brian D. M. Tom, Leonhard Held, Gareth O. Roberts, Richard G. Pebody, Daniela De Angelis |