Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection-Reference-Cited by-同舟云学术

Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection

Published:2022-05-01 Issue:2 Volume:37 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Lin Xihong¹

Affiliation:

1. Xihong Lin is Professor of Biostatistics at Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, USA, and Professor of Statistics at Harvard University, Cambridge, Massachusetts 02138-2901, USA

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference16 articles.

1. QUICK, C., DEY, R. and LIN, X. (2021). Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data. J. Amer. Statist. Assoc. 116 1561–1577.

2. ALLEN, E., ALTAE-TRAN, H., BRIGGS, J., JIN, X., MCGEE, G., SHI, A., RAGHAVAN, R., KAMARIZA, M., NOVA, N., PERETA, A., OTHERS, O., KING, G., PROBASCO, R., CHENG, R., SILBERMANN, B., ZHANG, F. and LIN, X. (2020). Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing. Nat. Hum. Behav.. 4 972–982.

3. ADAM, D. (2020). A guide to R—the pandemic’s misunderstood metric. Nat. News. Available at https://www.nature.com/articles/d41586-020-02009-w.

4. BRADLEY, V. C., KURIWAKI, S., ISAKOV, M., SEJDINOVIC, D., MENG, X.-L. and FLAXMAN, S. (2021). Unrepresentative big surveys significantly overestimated US vaccine uptake. Nature 600 695–700.

5. CLARK, G. (2020). COVID-19 pandemic: some lessons learned so far. Available at https://publications.parliament.uk/pa/cm5801/cmselect/cmsctech/correspondence/200518-Chair-to-Prime-Minister-re-COVID-19-pandemic-some-lessons-learned-so-far.pdf.

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