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Author [ Title(Desc)] Type Year
E
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.
F
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
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.
Stevens, N. T. , Wilson, J. D. , Driscoll, A. R. , McCulloh, I. , Michailidis, G. , Paris, C. , Paynabar, K. , et al. (2021). Foundations of network monitoring: Definitions and applications. Quality Engineering, 33(4), 719–730.
G
Stevens, N. T. , Steiner, S. H. , Browne, R. , & Mackay, R. J. . (2013). Gauge R&R studies that incorporate baseline information. IIE Transactions, 45(11), 1166-1175.
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.
H
Motalebi, N. , Stevens, N. T. , & Steiner, S. H. . (2021). Hurdle blockmodels for sparse network modeling. The American Statistician, 75(4), 383–393.
I
Stevens, N. T. , Wilson, J. D. , Driscoll, A. R. , McCulloh, I. , Paris, C. , Paynabar, K. , Perry, M. B. , et al. (2021). The interdisciplinary nature of network monitoring: Advantages and disadvantages. Quality Engineering, 33(4), 731–735.
M
Wilson, J. D. , Stevens, N. T. , & Woodall, W. H. . (2019). Modeling and detecting change in temporal networks via the degree corrected stochastic block model. Quality and Reliability Engineering International, 35(5), 1363-1378.
Yu, L. , Zwetsloot, I. M. , Stevens, N. T. , Wilson, J. D. , & Tsui, K. L. . (2022). Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study. Quality and Reliability Engineering International, 38(3), 1226–1250.
Stevens, N. T. , Smith, I. R. , Steiner, S. H. , & J, M. K. R. . (2011). Monitoring radiation in cardiology imaging equipment. Medical Physics, 38(1), 317-326.
P
Stevens, N. T. , & Wilson, J. D. . (2021). The past, present, and future of network monitoring: A panel discussion. Quality Engineering, 33(4), 715–718.
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.
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.
Q
Wilson, J. D. , Stevens, N. T. , & Woodall, W. H. . (2019). Quality and Reliability Engineering International. Modeling and detecting change in temporal networks via the degree corrected stochastic block model. Retrieved from https://doi.org/10.1002/qre.2520
Stevens, N. T. , & Anderson-Cook, C. M. . (2017). Quantifying similarity in reliability surfaces using the probability of agreement. Quality Engineering, 29(3), 395-408.
R
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.
Stevens, N. T. , Wilson, J. D. , Driscoll, A. R. , McCulloh, I. , Michailidis, G. , Paris, C. , Paynabar, K. , et al. (2021). Research in network monitoring: Connections with SPM and new directions. Quality Engineering, 33(4), 736–748.
S
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.
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.

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