Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Beiting Liang"'
Autor:
Wai-kit Ming, Fengqiu Huang, Qiuyi Chen, Beiting Liang, Aoao Jiao, Taoran Liu, Huailiang Wu, Babatunde Akinwunmi, Jia Li, Guan Liu, Casper J P Zhang, Jian Huang, Qian Liu
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 12, p e26644 (2021)
BackgroundDue to the COVID-19 pandemic, health information related to COVID-19 has spread across news media worldwide. Google is among the most used internet search engines, and the Google Trends tool can reflect how the public seeks COVID-19–relat
Externí odkaz:
https://doaj.org/article/34eea5d1c6cd4b1d928210c010314457
Publikováno v:
Australian & New Zealand Journal of Statistics. 64:45-66
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac165001bf6803d19dc5a2f79bc6af45
https://doi.org/10.1111/anzs.12363
https://doi.org/10.1111/anzs.12363
Autor:
Binhui Wang, Beiting Liang, Qiuyi Chen, Shu Wang, Siyi Wang, Zhongguo Huang, Yi Long, Qili Wu, Shulin Xu, Pranay Jinna, Fan Yang, Wai-Kit Ming, Qian Liu
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 20
Issue 4
Pages: 3007
Volume 20
Issue 4
Pages: 3007
The COVID-19 outbreak at the end of December 2019 spread rapidly all around the world. The objective of this study is to investigate and understand the relationship between public health measures and the development of the pandemic through Google sea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd38d87b87fa4d1154e3bcc190b21a4c
https://doi.org/10.3390/ijerph20043007
https://doi.org/10.3390/ijerph20043007
Publikováno v:
Statistical Papers. 62:193-208
We propose here a novel functional inverse regression method (i.e., functional surrogate assisted slicing) for functional data with binary responses. Previously developed method (e.g., functional sliced inverse regression) can detect no more than one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b2bca932a1b5cbc86af5b6853de8ddb
https://doi.org/10.1007/s00362-019-01083-1
https://doi.org/10.1007/s00362-019-01083-1
Autor:
Wai-kit Ming, Fengqiu Huang, Qiuyi Chen, Beiting Liang, Aoao Jiao, Taoran Liu, Huailiang Wu, Babatunde Akinwunmi, Jia Li, Guan Liu, Casper J P Zhang, Jian Huang, Qian Liu
BACKGROUND Due to the COVID-19 pandemic, health information related to COVID-19 has spread across news media worldwide. Google is among the most used internet search engines, and the Google Trends tool can reflect how the public seeks COVID-19–rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de782c1f1ba4df4d81a5ee8a77f73ee2
https://doi.org/10.2196/preprints.26644
https://doi.org/10.2196/preprints.26644
Autor:
Guan Liu, Beiting Liang, Taoran Liu, Wai-Kit Ming, Qian Liu, Jian Huang, Huailiang Wu, Casper J. P. Zhang, Jia Li, Babatunde Akinwunmi, Qiuyi Chen, Aoao Jiao, Fengqiu Huang
Publikováno v:
JMIR Public Health and Surveillance
Background Due to the COVID-19 pandemic, health information related to COVID-19 has spread across news media worldwide. Google is among the most used internet search engines, and the Google Trends tool can reflect how the public seeks COVID-19–rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90de1b18662c37b609b624e8b448047e
https://doi.org/10.2196/26644
https://doi.org/10.2196/26644