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Ghassan B Hamra

Biographic Data

ID6081730
NAMEGhassan B Hamra
GIVEN NAMESGhassan B
FAMILY NAMEHamra
SIGNATUREHAMRA G B
AFFILIATIONSDrexel University
ORCID0000-0002-6921-5742
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS6
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Bayesian Weighted Sums

    Open Access•Ghassan B Hamra, Richard F Maclehose et al.•ARTICLE•International Journal of…•2021

    BWS provides a means of estimating the summed effect and weights for individual components of a mixture. This approach is distinct from other exposure mixture tools. BWS may be more flexible than existing approaches and can be specified to allow multiple exposure groups based on a priori knowledge from epidemiology or toxicology

  • Gestational Exposure to Phthalates and Social Responsiveness Scores in Children Using Quantile Regression

    Open Access•Marisa A Patti, Craig J Newschaffer et al.•ARTICLE•International Journal of…•2021

    Linear regression is often used to estimate associations between chemical exposures and neurodevelopment at the mean of the outcome. However, the potential effect of chemicals may be greater among individuals at the 'tails' of outcome distributions. Here, we investigated distributional effects on the associations between gestational phthalate exposure and child Autism Spectrum Disorder (ASD)-related behaviors using quantile regression. We harmoni…

  • Associations between Greenspace and Gentrification-Related Sociodemographic and Housing Cost Changes in Major Metropolitan Areas across the United States

    Open Access•Leah H Schinasi, Hazel Cole et al.•ARTICLE•International Journal of…•2021

    Neighborhood greenspace may attract new residents and lead to sociodemographic or housing cost changes. We estimated relationships between greenspace and gentrification-related changes in the 43 largest metropolitan statistical areas (MSAs) of the United States (US). We used the US National Land Cover and Brown University Longitudinal Tracts databases, as well as spatial lag models, to estimate census tract-level associations between percentage g…

  • Motor Vehicle Crashes Involving a Bicycle Before and After Introduction of a Bike Share Program in Philadelphia, Pennsylvania, 2010–2018

    Ghassan B Hamra, Leah H Schinasi et al.•ARTICLE•American Journal of Public Health•2020•References: 29

    Objectives. To quantify the impact of a citywide bicycle share program on rates of motor vehicle collisions involving a bicycle. Methods. We conducted an interrupted time series analysis, using crash records from the Pennsylvania Department of Transportation for Philadelphia County from 2010 through 2018. We also calculated summary statistics to illustrate annual and monthly trends in rates of motor vehicle crashes involving a bicycle. Results. T…

  • A Time Series Analysis of Associations between Daily Temperature and Crime Events in Philadelphia, Pennsylvania

    Open Access•Leah H Schinasi, Ghassan B Hamra•ARTICLE•Journal of Urban Health•2017•Cited by: 6•References: 4

  • Challenges in reproducing results from publicly available data

    Nichole Austin, Sam Harper et al.•ARTICLE•Journal of Epidemiology and…•2016•References: 15

    BACKGROUND: Replication is a vital part of the research process and has recently received considerable attention. Analyses using publicly available data should, if adequately described, be reproducible without assistance from the original investigators. Using data from the US National Health and Nutrition Examination Survey (NHANES), a recent study reported a statistically significant difference in cardiovascular disease risk comparing subgroups …

  • Model Averaging for Improving Inference from Causal Diagrams

    Open Access•Ghassan B Hamra, Jay S Kaufman et al.•ARTICLE•International Journal of…•2015

    Model selection is an integral, yet contentious, component of epidemiologic research. Unfortunately, there remains no consensus on how to identify a single, best model among multiple candidate models. Researchers may be prone to selecting the model that best supports their a priori, preferred result; a phenomenon referred to as "wish bias". Directed acyclic graphs (DAGs), based on background causal and substantive knowledge, are a useful tool for…

  • Outdoor Particulate Matter Exposure and Lung Cancer

    Open Access•Ghassan B Hamra, Neela Guha et al.•ARTICLE•Environmental Health Perspectives•2014

  • A Time Series Analysis of Associations between Daily Temperature and Crime Events in Philadelphia, Pennsylvania

    Open Access•Leah H Schinasi, Ghassan B Hamra•ARTICLE•Journal of Urban Health•2017•Cited by: 6•References: 4

  • Outdoor Particulate Matter Exposure and Lung Cancer

    Open Access•Ghassan B Hamra, Neela Guha et al.•ARTICLE•Environmental Health Perspectives•2014

  • Model Averaging for Improving Inference from Causal Diagrams

    Open Access•Ghassan B Hamra, Jay S Kaufman et al.•ARTICLE•International Journal of…•2015

    Model selection is an integral, yet contentious, component of epidemiologic research. Unfortunately, there remains no consensus on how to identify a single, best model among multiple candidate models. Researchers may be prone to selecting the model that best supports their a priori, preferred result; a phenomenon referred to as "wish bias". Directed acyclic graphs (DAGs), based on background causal and substantive knowledge, are a useful tool for…

  • Challenges in reproducing results from publicly available data

    Nichole Austin, Sam Harper et al.•ARTICLE•Journal of Epidemiology and…•2016•References: 15

    BACKGROUND: Replication is a vital part of the research process and has recently received considerable attention. Analyses using publicly available data should, if adequately described, be reproducible without assistance from the original investigators. Using data from the US National Health and Nutrition Examination Survey (NHANES), a recent study reported a statistically significant difference in cardiovascular disease risk comparing subgroups …

  • A Time Series Analysis of Associations between Daily Temperature and Crime Events in Philadelphia, Pennsylvania

    Open Access•Leah H Schinasi, Ghassan B Hamra•ARTICLE•Journal of Urban Health•2017•Cited by: 6•References: 4

  • Motor Vehicle Crashes Involving a Bicycle Before and After Introduction of a Bike Share Program in Philadelphia, Pennsylvania, 2010–2018

    Ghassan B Hamra, Leah H Schinasi et al.•ARTICLE•American Journal of Public Health•2020•References: 29

    Objectives. To quantify the impact of a citywide bicycle share program on rates of motor vehicle collisions involving a bicycle. Methods. We conducted an interrupted time series analysis, using crash records from the Pennsylvania Department of Transportation for Philadelphia County from 2010 through 2018. We also calculated summary statistics to illustrate annual and monthly trends in rates of motor vehicle crashes involving a bicycle. Results. T…

  • Bayesian Weighted Sums

    Open Access•Ghassan B Hamra, Richard F Maclehose et al.•ARTICLE•International Journal of…•2021

    BWS provides a means of estimating the summed effect and weights for individual components of a mixture. This approach is distinct from other exposure mixture tools. BWS may be more flexible than existing approaches and can be specified to allow multiple exposure groups based on a priori knowledge from epidemiology or toxicology

  • Gestational Exposure to Phthalates and Social Responsiveness Scores in Children Using Quantile Regression

    Open Access•Marisa A Patti, Craig J Newschaffer et al.•ARTICLE•International Journal of…•2021

    Linear regression is often used to estimate associations between chemical exposures and neurodevelopment at the mean of the outcome. However, the potential effect of chemicals may be greater among individuals at the 'tails' of outcome distributions. Here, we investigated distributional effects on the associations between gestational phthalate exposure and child Autism Spectrum Disorder (ASD)-related behaviors using quantile regression. We harmoni…

  • Associations between Greenspace and Gentrification-Related Sociodemographic and Housing Cost Changes in Major Metropolitan Areas across the United States

    Open Access•Leah H Schinasi, Hazel Cole et al.•ARTICLE•International Journal of…•2021

    Neighborhood greenspace may attract new residents and lead to sociodemographic or housing cost changes. We estimated relationships between greenspace and gentrification-related changes in the 43 largest metropolitan statistical areas (MSAs) of the United States (US). We used the US National Land Cover and Brown University Longitudinal Tracts databases, as well as spatial lag models, to estimate census tract-level associations between percentage g…

Medicine (6 works) · Statistics (6 works) · Environmental health (4 works) · Mathematics (4 works) · Population (4 works) · Computer Science (3 works) · Confidence interval (3 works) · Demography (3 works) · Demography (3 works) · Percentile (3 works)

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