Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Arnold Stromberg; Jie Chen; Teresa Paula Costa Azinheira Oliveira; Yichuan Zhao; Ramin Moghaddass; Milan Stehlik

doi:10.1080/02664763.2023.2228597

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Arnold Stromberg, Jie Chen, Teresa Paula Costa Azinheira Oliveira, Yichuan Zhao, Ramin Moghaddass, Milan Stehlik

Biostats & Data Science

Research output: Contribution to journal › Editorial › peer-review

1 Scopus citations

Original language	English (US)
Pages (from-to)	2287-2293
Number of pages	7
Journal	Journal of Applied Statistics
Volume	50
Issue number	11-12
DOIs	https://doi.org/10.1080/02664763.2023.2228597
State	Published - 2023

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

Access to Document

10.1080/02664763.2023.2228597

Cite this

@article{4d27d7e6ae8e476a814ad8c37632435f,

title = "Editorial to the special issue: statistical perspectives on analytics for COVID-19 data",

author = "Arnold Stromberg and Jie Chen and Oliveira, {Teresa Paula Costa Azinheira} and Yichuan Zhao and Ramin Moghaddass and Milan Stehlik",

year = "2023",

doi = "10.1080/02664763.2023.2228597",

language = "English (US)",

volume = "50",

pages = "2287--2293",

journal = "Journal of Applied Statistics",

issn = "0266-4763",

publisher = "Routledge",

number = "11-12",

}

TY - JOUR

T1 - Editorial to the special issue

T2 - statistical perspectives on analytics for COVID-19 data

AU - Stromberg, Arnold

AU - Chen, Jie

AU - Oliveira, Teresa Paula Costa Azinheira

AU - Zhao, Yichuan

AU - Moghaddass, Ramin

AU - Stehlik, Milan

PY - 2023

Y1 - 2023

UR - http://www.scopus.com/inward/record.url?scp=85173253641&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85173253641&partnerID=8YFLogxK

U2 - 10.1080/02664763.2023.2228597

DO - 10.1080/02664763.2023.2228597

M3 - Editorial

AN - SCOPUS:85173253641

SN - 0266-4763

VL - 50

SP - 2287

EP - 2293

JO - Journal of Applied Statistics

JF - Journal of Applied Statistics

IS - 11-12

ER -

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this