Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Victoria Udalova"'
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Academic researchers in the U.S. and Canada have partnered with genealogical organizations and statistical agencies to create massive new scientific data collections from census enumerations. These data are creating new opportunities for research acr
Externí odkaz:
https://doaj.org/article/d150c76ac17d49daaab8b837a43e946f
Autor:
Victoria Udalova
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Direct data collection via surveys of patients and health care providers continues to experience declining response rates and increased costs. Alternative data sources such as medical claims or electronic health records hold significant promise to co
Externí odkaz:
https://doaj.org/article/253375e36519412fba24961560308fee
Autor:
Maria Polyakova, Victoria Udalova, Geoffrey Kocks, Keith Finlay, Amy Finkelstein, Katie R. Genadek
Publikováno v:
Health Affairs. 40:307-316
The impact of the coronavirus disease 2019 (COVID-19) pandemic has been starkly unequal across race and ethnicity. We examined the geographic variation in excess all-cause mortality by race and ethnicity to better understand the impact of the pandemi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b04bdbae26500352df31292428d6fca
https://doi.org/10.1377/hlthaff.2020.02142
https://doi.org/10.1377/hlthaff.2020.02142
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences
Significance A full picture of the COVID-19 pandemic requires information on how its impact on lives and on livelihoods relates across different groups. We therefore estimate excess all-cause mortality and employment displacement in April 2020 nation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7070c75a4ebccc0ba39febaa0e3191f9
http://europepmc.org/articles/PMC7668078
http://europepmc.org/articles/PMC7668078
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afbdf22c178ab923f944ac86a53ea07a
https://doi.org/10.2139/ssrn.4151271
https://doi.org/10.2139/ssrn.4151271
Autor:
Victoria Udalova, Jeffrey Traczynski
Publikováno v:
Journal of Health Economics. 58:90-109
Many states allow nurse practitioners (NPs) to practice and prescribe drugs without physician oversight, increasing the number of autonomous primary care providers. We estimate the causal impact of NP independence on population health care utilizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e25b1fa83138c9316256421106da50a
https://doi.org/10.1016/j.jhealeco.2018.01.001
https://doi.org/10.1016/j.jhealeco.2018.01.001
Publikováno v:
Journal of Empirical Legal Studies. 14:238-254
This document and the accompanying dataset provide six things: (1) a dataset covering 27 years (1990–2016) of medical malpractice (med mal) insurance premia, compiled with extensive data cleaning from the only available source for these rates, annu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49fe084c6bc0756aaced624f1d2a3958
https://doi.org/10.1111/jels.12146
https://doi.org/10.1111/jels.12146
Publikováno v:
SSRN Electronic Journal.
This appendix offers a codebook for the MLM dataset available in “Medical Liability Insurance Premia 1990-2015: Dataset, Literature Review, and Summary Information,” plus detailed documentation on the procedures used to create the MLM dataset. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5321c7daeac8a889f884a6c1c13d396
https://doi.org/10.2139/ssrn.2716911
https://doi.org/10.2139/ssrn.2716911