Qinyun Lin

Measuring differential exposure, susceptibility, & adaptability as dimensions of vulnerability for U.S. counties across the Pandemic

Marynia Kolak, Aresha Martinez-Cardoso, Mandela Gadri, James Keane et autres

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OEPS: Opioid Environment Policy Scan Data Ecosystem

Yong Wook Kim, Adam Cox, Mahjabin Kabir Adrita, Sara Lambert et autres

The Opioid Environment Policy Scan (OEPS) is an open-source data ecosystem to help characterize the multi-dimensional risk environment impacting opioid use and health outcomes across the United States. OEPS provides access to data at multiple spatial scales, from U.S. states down to …

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OEPS: Opioid Environment Policy Scan Data Ecosystem

Yong Wook Kim, Adam Cox, Mahjabin Kabir Adrita, Sara Lambert et autres

The Opioid Environment Policy Scan (OEPS) is an open-source data ecosystem to help characterize the multi-dimensional risk environment impacting opioid use and health outcomes across the United States. OEPS provides access to data at multiple spatial scales, from U.S. states down to …

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Unhealthy food consumption and asthma in children and adolescents

Daniil Lisik, Qinyun Lin, Marika Dello Russo, Emma Goksör et autres

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Quantifying Sensitivity to Selection on Unobserved Covariates: Recasting the Coefficient of Proportionality Within a Correlational Framework

Kenneth A. Frank, Qinyun Lin, Spiro J. Maroulis, Shimeng Dai et autres

Sensitivity analyses can inform evidence-based policy by quantifying the hypothetical conditions necessary to change an inference. Perhaps the most prevalent index used for sensitivity analyses is Oster’s Coefficient of Proportionality (COP) which expresses how strong selection on unobserved covariates would have to …

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Advanced Readiness to Quit Smoking Among People Living With HIV Enrolled in a Smoking Cessation Trial in Hanoi, Vietnam: Associations With Risk Perception, Self-Efficacy, and Social Norms

Thanh Ha-Lan Hoang, Gloria Guevara Alvarez, Nam Nguyen, Louise Adermark et autres

Background: In Vietnam, smoking remains highly prevalent among people living with HIV (PLWH), posing significant health risks. As PLWH receiving HIV care represent a selected population that may differ from the general smoking population, evidence on the psychosocial factors shaping readiness to …

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Application of Sensitivity Analysis for Teacher Effectiveness Evaluation in the Context of Accountability

Qinyun Lin, Kenneth A. Frank, Spiro J. Maroulis

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A Bayesian bivariate spatial modeling framework for stage-specific cancer incidence and targeting of screening efforts

Qinyun Lin, Carl Bonander, Ulf Strömberg

Geographic differences in cancer stage at diagnosis may reflect both variation in underlying cancer risk and variation in the extent of early detection through screening or other diagnostic testing. Mapping both late-stage incidence (as an indicator of disease burden) and late-minus-early difference …

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Teachers' Pedagogical Reasoning and Students' Three‐Dimensional Learning

Christie Morrison Thomas, Beth A. Covitt, Qinyun Lin, Stefanie LuVenia Marshall et autres

ABSTRACT This article reports analyses of data from a design‐based implementation project focused on middle‐ and high‐school science teaching. Drawing on teacher interviews and surveys as well as student learning evidence, we examined the relationships between teachers' pedagogical reasoning and their students' …

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Assessing the Evidence for Neoadjuvant Chemotherapy in Patients with Resectable Pancreatic Adenocarcinoma Using the Robustness of Inference to Replacement

Benjamin A. Y. Cher, Qinyun Lin, Kenneth A. Frank, Sharon M. Weber et autres

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Geo-mapping of caries and obesity in preschool children: a Swedish register-based study

Lucy Zhou, Daniel Åberg, Qinyun Lin, Carl Bonander et autres

BACKGROUND: Lifestyle interventions addressing both oral health and obesity in childhood have attracted attention due to the shared risk factors. Prioritization of resources to lifestyle interventions within pediatric dental care should rely on a rational basis. We consider a dental care setting …

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Sensitivity Analysis of the Consistency Assumption

Brian Knaeble, Qinyun Lin, Erich Kummerfeld, Kenneth A. Frank

Abstract: Sensitivity analysis informs causal inference by assessing the sensitivity of conclusions to departures from assumptions. The consistency assumption states that there are no hidden versions of treatment and that the outcome arising naturally equals the outcome arising from intervention. When reasoning …