Roger William Sherwin (1931-2022): A Dedicated Scientist and Educator
Am J Epidemiol. 2024 Mar 15:kwae020. doi: 10.1093/aje/kwae020. Online ahead of print.NO ABSTRACTPMID:38497542 | DOI:10.1093/aje/kwae020 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Shengxu Li Source Type: research
Avoidance of Care: How Healthcare Affordability Influenced COVID-19 Disease Severity and Outcomes
Am J Epidemiol. 2024 Mar 15:kwae022. doi: 10.1093/aje/kwae022. Online ahead of print.NO ABSTRACTPMID:38497546 | DOI:10.1093/aje/kwae022 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Chinyere J Okpara Jasmin Divers Megan Winner Source Type: research
RE: Post-acute symptoms 4 months after SARS-CoV-2 infection during the Omicron period: a nationwide Danish questionnaire study
Am J Epidemiol. 2024 Mar 15:kwae021. doi: 10.1093/aje/kwae021. Online ahead of print.NO ABSTRACTPMID:38497541 | DOI:10.1093/aje/kwae021 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Bronner P Gon çalves Source Type: research
Roger William Sherwin (1931-2022): A Dedicated Scientist and Educator
Am J Epidemiol. 2024 Mar 15:kwae020. doi: 10.1093/aje/kwae020. Online ahead of print.NO ABSTRACTPMID:38497542 | DOI:10.1093/aje/kwae020 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Shengxu Li Source Type: research
Avoidance of Care: How Healthcare Affordability Influenced COVID-19 Disease Severity and Outcomes
Am J Epidemiol. 2024 Mar 15:kwae022. doi: 10.1093/aje/kwae022. Online ahead of print.NO ABSTRACTPMID:38497546 | DOI:10.1093/aje/kwae022 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Chinyere J Okpara Jasmin Divers Megan Winner Source Type: research
RE: Post-acute symptoms 4 months after SARS-CoV-2 infection during the Omicron period: a nationwide Danish questionnaire study
Am J Epidemiol. 2024 Mar 15:kwae021. doi: 10.1093/aje/kwae021. Online ahead of print.NO ABSTRACTPMID:38497541 | DOI:10.1093/aje/kwae021 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Bronner P Gon çalves Source Type: research
Roger William Sherwin (1931-2022): A Dedicated Scientist and Educator
Am J Epidemiol. 2024 Mar 15:kwae020. doi: 10.1093/aje/kwae020. Online ahead of print.NO ABSTRACTPMID:38497542 | DOI:10.1093/aje/kwae020 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Shengxu Li Source Type: research
Avoidance of Care: How Healthcare Affordability Influenced COVID-19 Disease Severity and Outcomes
Am J Epidemiol. 2024 Mar 15:kwae022. doi: 10.1093/aje/kwae022. Online ahead of print.NO ABSTRACTPMID:38497546 | DOI:10.1093/aje/kwae022 (Source: Am J Epidemiol)
Source: Am J Epidemiol - March 18, 2024 Category: Epidemiology Authors: Chinyere J Okpara Jasmin Divers Megan Winner Source Type: research
Estimation of opioid misuse prevalence in New York State counties, 2007-2018. A Bayesian spatio-temporal abundance model approach
In this study, we used a Bayesian hierarchical spatio-temporal integrated abundance model that integrates multiple types of county-level surveillance outcome data, state-level information on opioid misuse, and covariates to estimate the latent (hidden) counts and prevalence of PWMO across New York State counties (2007-2018). The model assumes that each opioid-related outcome reflects a partial count of the number of PWMO, and leverages these multiple sources of data to circumvent limitations of parameter estimation associated with other types of abundance models. Model estimates showed a reduction in the prevalence of PWMO...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Julian Santaella-Tenorio Staci A Hepler Ariadne Rivera-Aguirre David M Kline Magdalena Cerda Source Type: research
Quasi-experimental methods for pharmacoepidemiology: difference-in-differences and synthetic control methods with case studies for vaccine evaluation
Am J Epidemiol. 2024 Mar 7:kwae019. doi: 10.1093/aje/kwae019. Online ahead of print.ABSTRACTDifference-in-differences and synthetic control methods have become common study designs for evaluating the effects of policy changes, including health policies. They also have potential for providing real-world effectiveness and safety evidence in pharmacoepidemiology. To effectively add to the toolkit of the field, however, designs-including both their benefits and drawbacks-must be well understood. Quasi-experimental designs provide an opportunity to estimate the average treatment effect on the treated without requiring the measu...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Lee Kennedy-Shaffer Source Type: research
Combining information to answer epidemiological questions about a target population
Am J Epidemiol. 2024 Mar 7:kwad014. doi: 10.1093/aje/kwad014. Online ahead of print.ABSTRACTEpidemiologists are attempting to address research questions of increasing complexity by developing novel methods for combining information from diverse sources. Cole et al. (Am J Epidemiol. 2022;XXX(XX):XXXX-XXXX) provide two examples of combining information to draw inferences about a population proportion. In this commentary, we consider combining information to learn about a target population as an epidemiological activity and distinguish it from more conventional meta-analyses. We examine possible rationales for combining infor...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Issa J Dahabreh Source Type: research
Estimation of opioid misuse prevalence in New York State counties, 2007-2018. A Bayesian spatio-temporal abundance model approach
In this study, we used a Bayesian hierarchical spatio-temporal integrated abundance model that integrates multiple types of county-level surveillance outcome data, state-level information on opioid misuse, and covariates to estimate the latent (hidden) counts and prevalence of PWMO across New York State counties (2007-2018). The model assumes that each opioid-related outcome reflects a partial count of the number of PWMO, and leverages these multiple sources of data to circumvent limitations of parameter estimation associated with other types of abundance models. Model estimates showed a reduction in the prevalence of PWMO...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Julian Santaella-Tenorio Staci A Hepler Ariadne Rivera-Aguirre David M Kline Magdalena Cerda Source Type: research
Quasi-experimental methods for pharmacoepidemiology: difference-in-differences and synthetic control methods with case studies for vaccine evaluation
Am J Epidemiol. 2024 Mar 7:kwae019. doi: 10.1093/aje/kwae019. Online ahead of print.ABSTRACTDifference-in-differences and synthetic control methods have become common study designs for evaluating the effects of policy changes, including health policies. They also have potential for providing real-world effectiveness and safety evidence in pharmacoepidemiology. To effectively add to the toolkit of the field, however, designs-including both their benefits and drawbacks-must be well understood. Quasi-experimental designs provide an opportunity to estimate the average treatment effect on the treated without requiring the measu...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Lee Kennedy-Shaffer Source Type: research
Combining information to answer epidemiological questions about a target population
Am J Epidemiol. 2024 Mar 7:kwad014. doi: 10.1093/aje/kwad014. Online ahead of print.ABSTRACTEpidemiologists are attempting to address research questions of increasing complexity by developing novel methods for combining information from diverse sources. Cole et al. (Am J Epidemiol. 2022;XXX(XX):XXXX-XXXX) provide two examples of combining information to draw inferences about a population proportion. In this commentary, we consider combining information to learn about a target population as an epidemiological activity and distinguish it from more conventional meta-analyses. We examine possible rationales for combining infor...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Issa J Dahabreh Source Type: research
Estimation of opioid misuse prevalence in New York State counties, 2007-2018. A Bayesian spatio-temporal abundance model approach
In this study, we used a Bayesian hierarchical spatio-temporal integrated abundance model that integrates multiple types of county-level surveillance outcome data, state-level information on opioid misuse, and covariates to estimate the latent (hidden) counts and prevalence of PWMO across New York State counties (2007-2018). The model assumes that each opioid-related outcome reflects a partial count of the number of PWMO, and leverages these multiple sources of data to circumvent limitations of parameter estimation associated with other types of abundance models. Model estimates showed a reduction in the prevalence of PWMO...
Source: Am J Epidemiol - March 8, 2024 Category: Epidemiology Authors: Julian Santaella-Tenorio Staci A Hepler Ariadne Rivera-Aguirre David M Kline Magdalena Cerda Source Type: research
