Jonathan Stallrich

Young, K., Weese, M. L., Stallrich, J. W., Smucker, B. J., & Edwards, D. J. (2024, May 17). A graphical comparison of screening designs using support recovery probabilities. JOURNAL OF QUALITY TECHNOLOGY, Vol. 5. https://doi.org/10.1080/00224065.2024.2356127

Stallrich, J., & McKibben, M. (2024, May 6). Optimal designs for two-stage inference. JOURNAL OF QUALITY TECHNOLOGY, Vol. 5. https://doi.org/10.1080/00224065.2024.2351878

Stallrich, J., Allen-Moyer, K., & Jones, B. (2023). D- and A- Optimal Screening Designs. Technometrics, 65(4), 492–501. https://doi.org/10.1080/00401706.2023.2183262

Larsen, N., Stallrich, J., Sengupta, S., Deng, A., Kohavi, R., & Stevens, N. T. (2023). Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology. The American Statistician, 78(2), 135–149. https://doi.org/10.1080/00031305.2023.2257237

Holter, J. C., & Stallrich, J. W. (2023). Tuning parameter selection for penalized estimation via R2. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 183. https://doi.org/10.1016/j.csda.2023.107729

Li, M., Liu, W., Si, J., Stallrich, J. W., & Huang, H. (2023). Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(5), 1634–1642. https://doi.org/10.1109/TBME.2022.3224026

Arulalan, K. S., Huayta, J., Stallrich, J. W., & San-Miguel, A. (2021). Antagonistic effects of chemical mixtures on the oxidative stress response are silenced by heat stress and reversed under dietary restriction. Exposome, 1(1). https://doi.org/10.1093/exposome/osab005

Estes, B. T., Enomoto, M., Moutos, F. T., Carson, M. A., Toth, J. M., Eggert, P., … Lascelles, B. D. X. (2021). Biological resurfacing in a canine model of hip osteoarthritis. SCIENCE ADVANCES, 7(38). https://doi.org/10.1126/sciadv.abi5918

Bergh, J. C., Morrison, W. R. I. I. I. I. I. I., Stallrich, J. W., Short, B. D., Cullum, J. P., & Leskey, T. C. (2021). Border Habitat Effects on Captures of Halyomorpha halys (Hemiptera: Pentatomidae) in Pheromone Traps and Fruit Injury at Harvest in Apple and Peach Orchards in the Mid-Atlantic, USA. INSECTS, 12(5). https://doi.org/10.3390/insects12050419

Allen-Moyer, K., & Stallrich, J. (2021). Incorporating Minimum Variances into Weighted Optimality Criteria. The American Statistician, 76(3), 262–269. https://doi.org/10.1080/00031305.2021.1947375

Gajjar, C. R., Stallrich, J. W., Pasquinelli, M. A., & King, M. W. (2021). Process-Property Relationships for Melt-Spun Poly(lactic acid) Yarn. ACS OMEGA, 6(24), 15920–15928. https://doi.org/10.1021/acsomega.1c01557

Stallrich, J., Islam, M. N., Staicu, A.-M., Crouch, D., Pan, L., & Huang, H. (2020). OPTIMAL EMG PLACEMENT FOR A ROBOTIC PROSTHESIS CONTROLLER WITH SEQUENTIAL, ADAPTIVE FUNCTIONAL ESTIMATION (SAFE). ANNALS OF APPLIED STATISTICS, 14(3), 1164–1181. https://doi.org/10.1214/20-AOAS1324

Winkel, M. A., Stallrich, J. W., Storlie, C. B., & Reich, B. J. (2021). Sequential Optimization in Locally Important Dimensions. TECHNOMETRICS, 63(2), 236–248. https://doi.org/10.1080/00401706.2020.1714738

Weese, M. L., Stallrich, J. W., Smucker, B. J., & Edwards, D. J. (2021). Strategies for Supersaturated Screening: Group Orthogonal and Constrained Var(s) Designs. TECHNOMETRICS, 63(4), 443–455. https://doi.org/10.1080/00401706.2020.1850529

Jones, B., Lekivetz, R., Majumdar, D., Nachtsheim, C. J., & Stallrich, J. W. (2020). Construction, Properties, and Analysis of Group-Orthogonal Supersaturated Designs. TECHNOMETRICS, 62(3), 403–414. https://doi.org/10.1080/00401706.2019.1654926

Brandt, A., Riddick, W., Stallrich, J., Lewek, M., & Huang, H. H. (2019). Effects of extended powered knee prosthesis stance time via visual feedback on gait symmetry of individuals with unilateral amputation: a preliminary study. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 16(1). https://doi.org/10.1186/s12984-019-0583-z

Webster, C. E., Marcellin-Little, D. J., Koballa, E. M., Stallrich, J. W., & Harrysson, O. L. A. (2019). Evaluation of the geometric accuracy of computed tomography and microcomputed tomography of the articular surface of the distal portion of the radius of cats. AMERICAN JOURNAL OF VETERINARY RESEARCH, 80(10), 976–984. https://doi.org/10.2460/ajvr.80.10.976

Martin, R. M., Stallrich, J., & Bereman, M. S. (2019). Mixture designs to investigate adverse effects upon co-exposure to environmental cyanotoxins. Toxicology, 421, 74–83. https://doi.org/10.1016/j.tox.2019.04.013

Crouch, D. L., Pan, L., Filer, W., Stallings, J. W., & Huang, H. (2018). Comparing Surface and Intramuscular Electromyography for Simultaneous and Proportional Control Based on a Musculoskeletal Model: A Pilot Study. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 26(9), 1735–1744. https://doi.org/10.1109/TNSRE.2018.2859833

Reich, B. J., Pacifici, K., & Stallings, J. W. (2018). Integrating auxiliary data in optimal spatial design for species distribution modelling. METHODS IN ECOLOGY AND EVOLUTION, 9(6), 1626–1637. https://doi.org/10.1111/2041-210X.13002

Rahman, A., Stallings, J., & Williams, L. (2018). Poster: Defect Prediction Metrics for Infrastructure as Code Scripts in DevOps. PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION, pp. 414–415. https://doi.org/10.1145/3183440.3195034

Terrell, J., Kofink, A., Middleton, J., Rainear, C., Murphy-Hill, E., Parnin, C., & Stallings, J. (2017). Gender differences and bias in open source: Pull request acceptance of women versus men. PeerJ Computer Science, 2017(5). https://doi.org/10.7717/peerj-cs.111

Brandt, A., Wen, Y., Liu, M., Stallings, J., & Huang, H. H. (2017). Interactions Between Transfemoral Amputees and a Powered Knee Prosthesis During Load Carriage. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-14834-7

Morgan, J. P., & Stallings, J. (2017). Optimal experimental design that targets meaningful information. Wiley Interdisciplinary Reviews: Computational Statistics, 9(2). https://doi.org/10.1002/wics.1393

Riaz, M., Stallings, J., Singh, M. P., Slankas, J., & Williams, L. (2016). DIGS. Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement - ESEM '16, 08-09-September-2016. https://doi.org/10.1145/2961111.2962599

Brown, B. M., Stallings, J. W., Clay, J. S., & Rhoads, M. L. (2016). Erratum: Periconceptional heat stress of holstein dams is associated with differences in daughter milk production and composition during multiple lactations (PLoS ONE (2016) 11:2). PLoS ONE, 11(2). https://doi.org/10.1371/journal.pone.0150049

Bergh, J. C., & Stallings, J. W. (2016). Field evaluations of the contribution of predators and the parasitoid, Aphelinus mali, to biological control of woolly apple aphid, Eriosoma lanigerum, in Virginia, USA. BIOCONTROL, 61(2), 155–165. https://doi.org/10.1007/s10526-016-9714-7

Brown, B. M., Stallings, J. W., Clay, J. S., & Rhoads, M. L. (2016). Periconceptional Heat Stress of Holstein Dams Is Associated with Differences in Daughter Milk Production during Their First Lactation. PLOS ONE, 11(2). https://doi.org/10.1371/journal.pone.0148234

McNamara, A., Verma, A., Stallings, J., & Staddon, J. (2016). Predicting mobile app privacy preferences with psychographics. WPES 2016 - Proceedings of the 2016 ACM Workshop on Privacy in the Electronic Society, co-located with CCS 2016, 47–58. https://doi.org/10.1145/2994620.2994631

King, J., Stallings, J., Riaz, M., & Williams, L. (2017). To log, or not to log: using heuristics to identify mandatory log events - a controlled experiment. EMPIRICAL SOFTWARE ENGINEERING, 22(5), 2684–2717. https://doi.org/10.1007/s10664-016-9449-1

Hickey, C. C., Hatch, T. A., Stallings, J., & Wolf, T. K. (2016). Under-Trellis Cover Crop and Rootstock Affect Growth, Yield Components, and Fruit Composition of Cabernet Sauvignon. AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE, 67(3), 281–295. https://doi.org/10.5344/ajev.2016.15079

Stallings, J. W., & Morgan, J. P. (2015). General weighted optimality of designed experiments. BIOMETRIKA, 102(4), 925–935. https://doi.org/10.1093/biomet/asv037

Brown, B. M., Stallings, J. W., Clay, J. S., & Rhoads, M. L. (2015). Periconceptional Heat Stress of Holstein Dams Is Associated with Differences in Daughter Milk Production and Composition during Multiple Lactations. PLOS ONE, 10(10). https://doi.org/10.1371/journal.pone.0133574

Trumbo, B. A., Nislow, K. H., Stallings, J., Hudy, M., Smith, E. P., Kim, D.-Y., … Dolloff, C. A. (2014). Ranking Site Vulnerability to Increasing Temperatures in Southern Appalachian Brook Trout Streams in Virginia: An Exposure-Sensitivity Approach. Transactions of the American Fisheries Society, 143(1), 173–187. https://doi.org/10.1080/00028487.2013.835282

Joseph, S. V., Stallings, J. W., Leskey, T. C., Krawczyk, G., Polk, D., Butler, B., & Bergh, J. C. (2014). Spatial Distribution of Brown Marmorated Stink Bug (Hemiptera: Pentatomidae) Injury at Harvest in Mid-Atlantic Apple Orchards. JOURNAL OF ECONOMIC ENTOMOLOGY, 107(5), 1839–1848. https://doi.org/10.1603/ec14154

Stallings, J. W. (2014). Type IV errors: How collaborations can lead to simpler analyses. AMSTAT News, 440, 24–25.

Stallings, J., Vance, E., Yang, J., Vannier, M. W., Liang, J., Pang, L., … Wang, G. (2013). Determining scientific impact using a collaboration index. Proceedings of the National Academy of Sciences of the United States of America, 110(24), 9680–9685. https://doi.org/10.1073/pnas.1220184110

Neal, R. E., Rossmeisl, J. H., Robertson, J. L., Arena, C. B., Davis, E. M., Singh, R. N., … Davalos, R. V. (2013). Improved Local and Systemic Anti-Tumor Efficacy for Irreversible Electroporation in Immunocompetent versus Immunodeficient Mice. PLoS ONE, 8(5), e64559. https://doi.org/10.1371/journal.pone.0064559

Morgan, J. P., & Stallings, J. W. (2014). On the a criterion of experimental design. Journal of Statistical Theory and Practice, 8(3), 418–422. https://doi.org/10.1080/15598608.2013.769922

Wang, H., Masters, S., Hong, Y., Stallings, J., Falkinham, J. O., Edwards, M. A., & Pruden, A. (2012). Effect of disinfectant, water age, and pipe material on occurrence and persistence of legionella, mycobacteria, pseudomonas aeruginosa, and two amoebas. Environmental Science and Technology, 46(21), 11566–11574. https://doi.org/10.1021/es303212a