Epidemiology and Biostatistics
BS of Mathematics, University of Kansas; MS of Preventive Medicine & Environmental Health, University of Iowa; PhD of Biostatistics, University of Michigan
Dr. McClure has diverse research interests, ranging from statistical methodology to environmental epidemiology. Methodologically, Dr. McClure is interested in the design and analysis of randomized clinical trials with multiple outcomes, and methodology for re-estimating sample size in on-going randomized trials. She is the principle investigator for the Coordinating Center for the CDC-sponsored Diabetes LEAD (Location, Environmental Attributes, and Disparities) Network, with a primary goals of furthering our understanding of the role of community-level factors and geographic differences in diabetes incidence and prevalence across the US and across demographic groups. Dr. McClure also leads the Data Coordinating Center for the AJ Drexel Autism Institute’s Connecting the Dots Study (http://drexel.edu/autisminstitute/research-projects/research/ResearchEarlyDetection/connecting-the-dots/). She is a Senior Statistician on the REasons for Geographic And Racial Differences (REGARDS) study (http://regardsstudy.org/home), for which she served as PI of a NASA-funded ancillary study investigating the role of satellite derived measures of fine particulate matter in the development of cognitive decline and stroke.
In addition, Dr. McClure loves to teach and to work with students, and has been recognized by the University of Alabama at Birmingham for her outstanding teaching and mentoring skills. She is a Fellow of the American Heart Association (Epidemiology Council) and a Fellow of the American Statistical Association.
- Cardiovascular Disease
- Clinical Trials
- Environmental Exposures
- Statistical Modeling
- Adaptive Designs in Clinical Trials
- Statistical Methods for Environmental Epidemiology
Tabb, LP; McClure, LA; Quick, H; Purtle, J; Diez Roux, AV (2018). “Assessing the spatial heterogeneity in overall health across the United States using spatial regression methods: the contribution of health factors and county-level demographics.” Health and Place 51:68-77.
Loop, MS; McClure, LA; Levitan, EB; Al-Hamdan, MZ; Crosson, WL; Safford, MM (2018). “Fine particulate matter and incident coronary heart disease in the REGARDS study.” American Heart Journal 197:94-102. PMCID: PMC5819617
McClure, LA; Loop, MS; Crosson, W; Kleindorfer, D; Kissela, B; Al-Hamdan, M. (2017). “Fine Particulate Matter (PM2.5) and the Risk of Stroke in the REGARDS Cohort.” Journal of Stroke and Cerebrovascular Diseases 26(8): 1739-1744. PMCID: PMC5609490
Loop MS, McClure LA. Testing for clustering at many ranges inflates family-wise error rate (FWE). Int J Health Geogr. 2015 Jan 15;14:4. PubMed PMID: 25588612; PubMed Central PMCID: PMC4326498.
Loop MS, Kent ST, Al-Hamdan MZ, Crosson WL, Estes SM, Estes MG Jr, Quattrochi DA, Hemmings SN, Wadley VG, McClure LA. Correction: Fine particulate matter and incident cognitive impairment in the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. PLOS ONE. 2015;10(4):e0125137. PubMed PMID: 25886257; PubMed Central PMCID: PMC4401742.
McClure LA, Kleindorfer DO, Kissela BM, Cushman M, Soliman EZ, Howard G. Assessing the performance of the Framingham Stroke Risk Score in the reasons for geographic and racial differences in stroke cohort. Stroke. 2014 Jun;45(6):1716-20. PubMed PMID: 24736237; PubMed Central PMCID: PMC4102650.
Kent ST, Cushman M, Howard G, Judd SE, Crosson WL, Al-Hamdan MZ, McClure LA. Sunlight exposure and cardiovascular risk factors in the REGARDS study: a cross-sectional split-sample analysis. BMC Neurol. 2014 Jun 19;14:133. PubMed PMID: 24946776; PubMed Central PMCID: PMC4075775.