Being a public health statistician during a global pandemic

DOI10.1214/22-STS859OpenAlexW4280594122MaRDI QIDQ2143954

Bhramar Mukherjee

Publication date: 31 May 2022

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/22-sts859

zbMATH Keywords

forecastingtransmission dynamicsepidemiological modelsCOVID-19 pandemicvaccine effectivenesspublic health data systemsresearch infrastructure

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Data science in a time of crisis: lessons from the pandemic ⋮ Data, science, and global disasters

Cites Work

• Matching methods for causal inference: a review and a look forward
• A conversation with Janet L. Norwood
• Mathematical Models in Epidemiology
• Causal Inference Using Potential Outcomes
• Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data
• Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification

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