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Browsing by Subject "Selection bias"
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Item Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality(Elsevier, 2017-08-24) Mez, Jesse; Marden, Jessica R.; Mukherjee, Shubhabrata; Walter, Stefan; Gibbons, Laura E.; Gross, Alden L.; Zahodne, Laura B.; Gilsanz, Paola; Brewster, Paul; Nho, Kwangsik; Crane, Paul K.; Larson, Eric B.; Glymour, M. Maria; Radiology and Imaging Sciences, School of Medicine• A genetic risk score from 21 non-APOE late-onset Alzheimer's disease risk variants predicts mortality. • The genetic risk score likely confers risk for mortality through its effect on dementia incidence. • Late-onset Alzheimer's disease risk loci effect estimates from genome-wide association unlikely suffer from selection bias.Item Recruiting pregnant people considering abortion: an analysis of differences in participant characteristics by recruitment site across online, abortion fund, and clinic-based sources(Elsevier, 2023) Moseson, Heidi; Wollum, Alexandra; Goode, Bria; McKenna, Caitlin; Wilkinson, Tracey; Pediatrics, School of MedicineObjectives: This study aimed to evaluate differences by recruitment method in the characteristics of participants who are considering abortion. Study design: Between June 2021 and April 2022, we recruited pregnant people considering abortion in Indiana from (1) online posts, (2) abortion funds, and (3) abortion clinics. We compared participant characteristics reported in an online survey by recruitment source. Results: Compared to those recruited from clinics (n = 94), participants recruited online (n = 84) and through abortion funds (n = 239) were later in their pregnancy, were already parenting, received less formal education, struggled financially, and were more likely to be Black or African American, queer, transgender, or nonbinary. Conclusions: Recruitment from online sources and abortion funds reaches more people who face greater barriers to abortion care than recruitment from clinics. Implications: Augmenting clinic-based recruitment with online and abortion fund recruitment could capture a more complete sample of people considering abortion.