Publications

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[ Author(Asc)] Title Type Year
Z
Zhao, M. J. , Driscoll, A. R. , Sengupta, S. , Stevens, N. T. , Fricker, R. D. , & Woodall, W. H. . (2018). The effect of temporal aggregation level in social network monitoring. PloS one, 13(12), e0209075.
Y
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.
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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
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.
S
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.
Stevens, N. T. , & Wilson, J. D. . (2021). The past, present, and future of network monitoring: A panel discussion. Quality Engineering, 33(4), 715–718.
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.
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.
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.
Stevens, N. T. , Wilson, J. D. , Driscoll, A. R. , McCulloh, I. , Michailidis, G. , Paris, C. , Paynabar, K. , et al. (2021). Broader impacts of network monitoring: Its role in government, industry, technology, and beyond. Quality Engineering, 33(4), 749–757.
Stevens, N. T. , & Lu, L. . (2020). Comparing Kaplan-Meier curves with the probability of agreement. Statistics in Medicine, 39(30), 4621-4635.
Stevens, N. T. . (2020). Discussion of “Statistics= Analytics?”. Quality Engineering, 32(2), 145-148.
Stevens, N. T. , Lu, L. , Anderson-Cook, C. M. , & Rigdon, S. . (2020). Bayesian probability of agreement for comparing survival or reliability functions with parametric lifetime regression models. Quality Engineering, 32(3), 312-332.
Stevens, N. T. , Rigdon, S. E. , & Anderson-Cook, C. M. . (2020). Bayesian probability of agreement for comparing the similarity of response surfaces. Journal of Quality Technology, 52(1), 67-80.
Stevens, N. T. , & Anderson-Cook, C. M. . (2019). Design and analysis of confirmation experiments. Journal of Quality Technology, 51(2), 109-124.
Stevens, N. T. , Rigdon, S. E. , & Anderson-Cook, C. M. . (2018). Bayesian probability of predictive agreement for comparing the outcome of two separate regressions. Quality and Reliability Engineering, 34(6), 968-978.
Stevens, N. T. , Steiner, S. H. , & Mackay, R. J. . (2018). Comparing heteroscedastic measurement systems with the probability of agreement. Statistical Methods in Medical Research, 27(11), 3420-3435.
Stevens, N. T. , & Anderson-Cook, C. M. . (2017). Quantifying similarity in reliability surfaces using the probability of agreement. Quality Engineering, 29(3), 395-408.

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