HOME /

Publications

Search
Author [ Title(Asc)] Type Year
U
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.
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.
S
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.
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.
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.
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.
R
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.
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.
Q
Stevens, N. T. , & Anderson-Cook, C. M. . (2017). Quantifying similarity in reliability surfaces using the probability of agreement. Quality Engineering, 29(3), 395-408.
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
P
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. , Browne, R. , & Mackay, R. J. . (2011). Planning and analysis of measurement reliability studies. Canadian Journal of Statistics, 39(2), 344-355.
Stevens, N. T. , & Wilson, J. D. . (2021). The past, present, and future of network monitoring: A panel discussion. Quality Engineering, 33(4), 715–718.
M
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.
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.
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.
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.
H
Motalebi, N. , Stevens, N. T. , & Steiner, S. H. . (2021). Hurdle blockmodels for sparse network modeling. The American Statistician, 75(4), 383–393.
G
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.
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.

Pages