Publications
Journal Publications
Meeker, M., Goldstein, N. G., Paul, D. A., McClure, L. A. (2023). Examining a spatial sampling approach for selecting the training data within the random forest algorithm. Under Review at Spatial Statistics
Moon, K. A., Nordberg, C. M., Orstad, S. L., Zhu, A., Uddin, J., Lopez, P., Schwartz, M. D., Ryan, V., Hirsch, A. G., Schwartz, B. S., Carson, A. P., Long, D. L., Meeker, M., Brown, J., Lovasi, G. S., Adhikari, S., Kanchi, R., Avramovic, S., Imperatore, G., Poulsen, M. N. (2023). Mediation of an association between neighborhood socioeconomic environment and type 2 diabetes through the leisure-time physical activity environment in an analysis of three independent samples. BMJ Open Diabetes Research and Care, 11.
Meeker, M., Schwartz, B. S., Bandeen-Roche, K., Hirsch, A. G., De Silva, S. A., McAlexander, T. P., Black, N. C., McClure, L. A. (2022). Assessing measurement invariance of a land use environment construct across levels of urbanicity. GeoHealth, 6, e2022GH000667.
India-Aldana, S., Kanchi, R., Adhikari, S., Lopez, P., Schwartz, M. D., Elbel, B. D., Rummo, P. E., Meeker, M., Lovasi, G. S., Siegel, K. R., Chen, Y., Thorpe, L. E. (2022). Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008–2018. Environmental Research, 113146.
McAlexander, T. P., De Silva, S., Meeker, M. A., Long, D. L., McClure, L. A. (2021). Evaluation of associations between estimates of particulate matter exposure and new onset type 2 diabetes in the REGARDS cohort. Journal of exposure science and environmental epidemiology, 1-8.
Moon, K. A., Nordberg, C. M., Zhu, A., Uddin, J., Lopez, P. M., Orstad, S. L., Schwartz, M. D., Ryan, V., Hirsch, A. G., Schwartz, B. S., Carson, A. P., Long, D. L., Meeker, M., Brown, J. R., Lovasi, G. S., Adhikari, S., Kanchi, R., Avramovic, S., Siegel, K. R., Poulsen, M. N. (2022). Evaluation of Mediation via the Physical Activity Environment of Neighborhood Socioeconomic Environment, and Type 2 Diabetes Associations. Diabetes, 71.
De Silva, S. A., Meeker, M., Ryan, V., Algur, Y., Long, D. L., Carson, A., Black, N., McClure, L. A. (2022). Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties. Journal of Urban Health, 1-12.
Thorpe, L. E., Adhikari, S., Lopez, P., Kanchi, R., McClure, L. A., Hirsch, A. G., Howell, C. R., Zhu, A., Alemi, F., Rummo, P., Ogburn, E. L., Algur, Y., Nordberg, C. M., Poulsen, M. N., Long, L., Carson, A. P., DeSilva, S. A., Meeker, M., Schwartz, B. S., Lee, D. C., Siegel, K. R., Imperatore, G., Elbel, B. (2022). Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples. Diabetes Care, 45(4), 798-810.
Rummo, P. E., Algur, Y., McAlexander, T., Judd, S. E., Lopez, P. M., Adhikari, S., Brown, J., Meeker, M., McClure, L. A., Elbel, B. (2021). Comparing competing geospatial measures to capture the relationship between the neighborhood food environment and diet. Annals of Epidemiology, 61, 1-7.
Urbanowicz, R. J., Meeker, M., La Cava, W., Olson, R. S., Moore, J. H. (2018). Relief-based feature selection: introduction and review. Journal of biomedical informatics, 85, 189-203.
Urbanowicz, R. J., Olson, R. S., Schmitt, P., Meeker, M., Moore, J. H. (2018). Benchmarking relief-based feature selection methods for bioinformatics data mining. Journal of biomedical informatics, 85, 168-188.