Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yael Travis-Lumer"'
Publikováno v:
Emerging Themes in Epidemiology, Vol 19, Iss 1, Pp 1-8 (2022)
Abstract Background Interrupted time series (ITS) analysis is a time series regression model that aims to evaluate the effect of an intervention on an outcome of interest. ITS analysis is a quasi-experimental study design instrumental in situations w
Externí odkaz:
https://doaj.org/article/8b2736ff341945c0b046fb331139a58f
Autor:
Yael Travis-Lumer, Arad Kodesh, Yair Goldberg, Abraham Reichenberg, Sophia Frangou, Stephen Z. Levine
Publikováno v:
European Psychiatry, Vol 65 (2022)
AbstractBackgroundStudies of COVID-19 pandemic biopsychosocial exposure and schizophrenia risk showed contradictory results, were undertaken early in the pandemic, and did not consider lockdowns or COVID-19 infection. Hence, we examined the associati
Externí odkaz:
https://doaj.org/article/9e885b06270d4808bc692c7c2dd87785
Publikováno v:
Psychological Medicine
BackgroundTo characterize the association between the protracted biopsychosocial coronavirus disease 2019 (COVID-19) pandemic exposures and incident suicide attempt rates.MethodsData were from a nationally representative cohort based on electronic he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d44b47353fb65f4a2abbecbfd42dc2a
https://doi.org/10.1017/s0033291721004384
https://doi.org/10.1017/s0033291721004384
Autor:
Yael Travis-Lumer, Yair Goldberg, Arad Kodesh, Abraham Reichenberg, Sven Sandin, Sophia Frangou, Stephen Z. Levine
Publikováno v:
JAMA Network Open. 6:e230233
This cross-sectional study uses electronic health record data to compare monthly incidence rates of spontaneous abortion in Israel before and during the COVID-19 pandemic.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e213d203ce049f0390ef86a4b33425d4
https://doi.org/10.1001/jamanetworkopen.2023.0233
https://doi.org/10.1001/jamanetworkopen.2023.0233
Autor:
Yair Goldberg, Yael Travis-Lumer
In survival analysis, estimating the failure time distribution is an important and difficult task, since usually the data is subject to censoring. Specifically, in this paper we consider current status data, a type of data where all of the observatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c785390eb5496964ce730253db4335ac
