Research

My research primarily focuses on the design and analysis of experiments for quality improvement. Of exceptional interest to me are screening experiments (including supersaturated designs), sequential experimentation, and response surface methodology. Experiments are regularly performed by practitioners and researchers in many diverse fields of study with the common objective of utilizing experimental data to more fully understand some system, process, organization, etc. under study. Ultimately, my goal is to develop methodologies/tools for the purposes of model building, process characterization/optimization, and quality improvement that are user-friendly and that aid an experimenter in more readily understanding their results.

Selected Publications:

  1. Edwards, D.J. and Mee, R.W. (2008). “Empirically Determined p-values for Lenth tstatistics”. Journal of Quality Technology, 40(4), 368-380.

  2. Edwards, D.J. and Mee, R.W. (2011). “Supersaturated Designs: Are Our Results Significant?” Computational Statistics and Data Analysis, 55(9), 2652-2664.

  3. Edwards, D.J. (2011). “Optimal Semifoldover Plans for Two-Level Orthogonal Designs”. Technometrics, 53(3), 274-284.

  4. Edwards, D.J. and Mee, R.W. (2011). “Fractional Box-Behnken Designs”. Journal of Quality Technology, 43(4), 288-306.

  5. La Rosa, P.S., Brooks, J.P, Deych, E., Boone, E.L., Edwards, D.J., Wang, Q., Sodergen, E., Weinstock, G., and Shannon, B. (2012). “Power Calculations for Taxonomical-Based Analysis of Human Microbiome Data”. PLoS ONE, 7(12): e52078.

  6. Edwards, D.J. and Kelly, K.D. (2014). “Selecting a D-optimal Follow-Up Design Among Candidate Choices”. Quality Engineering, 26, 233-245.

  7. Weese, M.L., Smucker, B.J., and Edwards, D.J. (2015). “Searching for Powerful Supersaturated Designs”. Journal of Quality Technology, 47(1), 66-84.

  8. Brooks, J.P., Edwards, D.J., et al. (2015) “The Truth about Metagenomics: Quantifying and Counteracting Bias in 16S rRNA Studies”.BMC Microbiology, 15:66.

  9. Wilson, S.R., Swieringa, K.A., Leonard, R.D., Freitag, E., and Edwards, D.J. (2017). “Statistical Engineering Approach to Improve the Realism of Computer Simulated Experiments with Trajectory Clustering.” Quality Engineering, 29(2), 167-180.

  10. Mee, R.W., Schoen, E.R., and Edwards, D.J. (2017). “Selecting an Orthogonal or Nonorthogonal Fractional Factorial Design for Screening.” Technometrics, 59, 305-318.

  11. Ockuly, R.A., Weese, M.L., Smucker, B.J., Edwards, D.J., and Le, C. (2017). “Response Surface Experiments: A Meta-Analysis.” Chemometrics and Intelligent Laboratory Systems, 164, 64-75.

  12. Weese, M.L, Edwards, D.J., and Smucker, B.J. (2017). “Powerful Supersaturated Designs when Effect Directions are Known”. Journal of Quality Technology, 49(3), 265-277.

  13. Leonard, R.D. and Edwards, D.J. (2017). “Bayesian D-Optimal Screening Experiments with Partial Replication.” Computational Statistics and Data Analysis, 115, 79-90.

  14. Fettweis, J.M., Serrano, M.G., Brooks, J.P., Edwards, D.J., et al. (2019). “The Vaginal Microbiome and Preterm Birth”. Nature Medicine, 25, 1012-1021.

  15. Serrano, M.G., Parikh, H., Brooks, J.P., Edwards, D.J., et al. (2019) “Racioethnic Diversity in the Dynamics of the Vaginal Microbiome During Pregnancy.” Nature Medicine, 25, 1001-1011.

  16. McAnulty, C.M. and Edwards, D.J. (2020). "A Comparison of Experimental Designs for Calibration", Chemometrics and Intelligent Laboratory Systems, 202, 104025.

  17. Smucker, B.J., Edwards, D.J., and Weese, M.L. (2021). "Response Surface Models: To Reduce or Not to Reduce", Journal of Quality Technology, 53, 197-216.

  18. Weese, M.L., Stallrich, J.W., Smucker, B.J., and Edwards, D.J. (2021). "Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs", Technometrics, 63, 443-455.

  19. Edwards, D.J. and Mee, R.W. (2022). "Structure of Nonregular Two-Level Designs", Journal of the American Statistical Association, In Press.

  20. Burris, J., Ballard, K.M., Wilson, S.R., and Edwards, D.J. (2022). "Visualization and Comparison of Aircraft Trajectories Using Gaussian-Smoothed Heatmaps''. Quality Engineering, In Press.

For a complete list of publications, visit my Google Scholar page.

Selected Grants:

1. National Institute of Aerospace/NASA, "Statistical Engineering for Airspace Technology Demonstration", 2016-2020, PI.

2. FHI 360/NIH, "Depo Provera and Beyond: Understanding the Impact of Lower Dose Medroxyprogesterone Acetate and Long-Acting Contraceptives on Female Genital Tract Microbiome and Immunology", 2018-2023, Co-I, PI: Greg Buck.

3. NIH, "Global Omics and Viromics Initiative on Pregnancy", 2017-2022, Co-I, PI: Greg Buck.

4. NIH, "A Multi-Omic Analysis of the Vaginal Microbiome during Pregnancy", 2013-2017, Co-I, PI: Greg Buck.

5. National Institute of Aerospace/NASA, "Statistical Engineering for Next Generation Air Transportation System", 2012-2016, PI.

6. Jeffress Trust in Interdisciplinary Research, "The Truth About Bacterial Metagenomics: Uncovering Bias in using Mixture Effect Models", 2013-2015, PI.

7. Simons Foundation, "Sequential Experimentation: When, Why, How?", 2012-2015, PI.