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Lindsay J Collin
Researcher at Huntsman Cancer Institute
Publications - 57
Citations - 657
Lindsay J Collin is an academic researcher from Huntsman Cancer Institute. The author has contributed to research in topics: Medicine & Breast cancer. The author has an hindex of 8, co-authored 34 publications receiving 339 citations. Previous affiliations of Lindsay J Collin include Emory University & Aarhus University Hospital.
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Journal ArticleDOI
Prevalence of Transgender Depends on the “Case” Definition: A Systematic Review
TL;DR: The empirical literature on the prevalence of transgender highlights the importance of adhering to specific case definitions because the results can range by orders of magnitude.
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Association of Sugary Beverage Consumption With Mortality Risk in US Adults: A Secondary Analysis of Data From the REGARDS Study.
TL;DR: Higher consumption of sugary beverages, including fruit juice, is associated with increased mortality, according to this cohort study of black and white adults 45 years and older.
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Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area.
Lindsay J Collin,Anne H. Gaglioti,Kirsten M. M. Beyer,Yuhong Zhou,Miranda A Moore,Rebecca Nash,Jeffrey M. Switchenko,Jasmine Miller-Kleinhenz,Kevin C. Ward,Lauren E. McCullough +9 more
TL;DR: These findings underscore the role of ecologic measures of structural racism on cancer outcomes, and place-based measures are important contributors to health outcomes, an important unexplored area that offers potential interventions to address disparities.
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Estimating the Unknown: Greater Racial and Ethnic Disparities in COVID-19 Burden After Accounting for Missing Race and Ethnicity Data.
Katie Labgold,Sarah Hamid,Sarita Shah,Neel R. Gandhi,Allison T. Chamberlain,Fazle Khan,Shamimul Khan,Sasha Smith,Steve C.R. Williams,Timothy L. Lash,Lindsay J Collin,Lindsay J Collin +11 more
TL;DR: These results highlight that complete case analyses may underestimate absolute disparities in notification rates and suggest that quantitative bias analysis methods may improve estimates of racial-ethnic disparities in the COVID-19 burden.
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The replication crisis in epidemiology: snowball, snow job, or winter solstice?
TL;DR: Abandoning blind reliance on null hypothesis significance testing for statistical inference, finding consensus on when preregistration of non-randomized study protocols has merit, and focusing on replication and advance are the most certain ways to emerge from this solstice for the better.