Tiffany Wu

ORCID: 0000-0003-0752-2904
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About
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Research Areas
  • COVID-19 Pandemic Impacts
  • COVID-19 epidemiological studies
  • Cancer Immunotherapy and Biomarkers
  • Statistical Methods in Clinical Trials
  • Income, Poverty, and Inequality
  • Customer churn and segmentation
  • COVID-19 impact on air quality
  • Consumer Market Behavior and Pricing

Photon Spot (United States)
2022

Global Policy Institute
2020

University of California, Berkeley
2020

Abstract Governments around the world are responding to novel coronavirus (COVID-19) pandemic 1 with unprecedented policies designed slow growth rate of infections. Many actions, such as closing schools and restricting populations their homes, impose large visible costs on society, but benefits cannot be directly observed currently understood only through process-based simulations. 2–4 Here, we compile new data 1,717 local, regional, national non-pharmaceutical interventions deployed in...

10.1101/2020.03.22.20040642 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-03-27

Online controlled experiments, in which different variants of a product are compared based on an Overall Evaluation Criterion (OEC), have emerged as gold standard for decision making online services. It is vital that the OEC aligned with overall goal stakeholders effective making. However, this challenge when not immediately observable. For instance, we might want to understand effect deploying feature long-term retention, where outcome (retention) observable at end A/B test.

10.1145/3485447.3512038 article EN Proceedings of the ACM Web Conference 2022 2022-04-25
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