Publications

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[ Author(Desc)] Title Type Year
A
Anderson-Cook, C. M. , Lu, L. , Brenneman, W. , de Mast, J. , Faltin, F. , Freeman, L. , Guthrie, W. , et al. (2022). Statistical Engineering – Part 1: Past and Present. Quality Engineering, 34(4), 426–445.
B
Bui, T. , Steiner, S. H. , & Stevens, N. T. . (2023). General Additive Network Effect Models. The New Journal of Statistics in Data Science, 1(3), 342–360.
C
Cook, C. M. Anderso, Lu, L. , Brenneman, W. , de Mast, J. , Faltin, F. , Freeman, L. , Guthrie, W. , et al. (2022). Statistical Engineering – Part 2: Future. Quality Engineering, 34(4), 446–467.
D
da Rocha, L. T. , & Stevens, N. T. . (2018). Comparing two measurement systems using the probability of agreement web app. . Quality Engineering, 30(3), 525-533.
J
Jeske, D. R. , Stevens, N. T. , Tartakovsky, A. G. , & Wilson, J. D. . (2018). Statistical methods for network surveillance. Applied Stochastic Models in Business and Industry, 34(4), 425-445.
Jones-Farmer, L. A. , & Stevens, N. T. . (2017). Discussion of "Bridging the gap between theory and practice in basic statistical process monitoring". Quality Engineering, 29(1), 22-26.
L
Larsen, N. , Stallrich, J. W. , 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, in press.
Lu, L. , Anderson-Cook, C. M. , Stevens, N. T. , & Hagar, L. . (2022). Using a Baseline with the Probability of Agreement to Compare Distribution Characteristics. Quality Engineering, 34(3), 322–343.
M
Motalebi, N. , Stevens, N. T. , & Steiner, S. H. . (2021). Hurdle blockmodels for sparse network modeling. The American Statistician, 75(4), 383–393.
P
Pan, R. , Lu, L. , & Stevens, N. . (2024). Editorial for reliability engineering special issue. Quality Engineering. Retrieved from https://doi.org/10.1080/08982112.2024.2293610
Parker, R. A. , Scott, C. , Inacio, V. , & Stevens, N. T. . (2020). Using multiple agreement methods for continuous repeated measures data: a tutorial for practitioners. BMC Medical Research Methodology, 20(1), 1-14.
R
Rigdon, S. E. , Stevens, N. T. , Wilson, J. D. , & Woodall, W. H. . (2024). First to signal criterion for comparing control chart performance. Quality Engineering, 36(2), 427-438. Retrieved from https://doi.org/10.1080/08982112.2023.2223690
S
Sen, A. , Stevens, N. T. , N Tran, K. , Agarwal, R. R. , Zhang, Q. , & Dubin, J. A. . (2023). Forecasting Daily COVID-19 Cases with Gradient Boosted Trees and Other Methods: Evidence from U.S. Cities. Frontiers in Public Health, in press.
Smucker, B. J. , Stevens, N. T. , Asscher, J. , & Goos, P. . (2023). Profiles in the Teaching of Experimental Design and Analysis. Journal of Statistics and Data Science Education, 31(3), 211—224.
Steiner, S. H. , Stevens, N. T. , Jensen, W. , & Mackay, R. J. . (2019). Replacing a current measurement system in an inspection scheme: a case study. Quality Engineering, 31(4), 615-626.
Steiner, S. H. , Stevens, N. T. , Browne, R. , & Mackay, R. J. . (2011). Planning and analysis of measurement reliability studies. Canadian Journal of Statistics, 39(2), 344-355.
Stevens, N. T. . (2023). Is designed data collection still relevant in the big data era? A discussion. Quality and Reliability Engineering, 39(4), 1107–1109.
Stevens, N. T. , & Hagar, L. . (2022). Comparative probability metrics: Using posterior probabilities to account for practical equivalence in A/B tests. The American Statistician, 76(3), 224-237.
Stevens, N. T. , Sen, A. , Kiwon, F. , Morita, P. P. , Steiner, S. H. , & Zhang, Q. . (2022). Estimating the effects of non-pharmaceutical intervent and population mobility on daily COVID-19 cases: Evidence from Ontario. Canadian Public Policy, 48(1), 144–161.

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