Publications

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Displaying 1 through 7 of 7 publications.

Mannion L, Watson V, Mullassery V, Nair R, Charlton T, Northover M, Enting D, Van Hemelrijck M, Khan MS, Thurairaja R, Amery S, Chatterton K, Smith K, Hughes S. Treatment preferences of patients with muscle invasive bladder cancer: a discrete choice experiment. BJUI Compass. 2024 Oct 11;5(11):1059-68. doi: 10.1002/bco2.443

Conover MM, Rothman KJ, Sturmer T, Ellis AR, Poole C, Jonsson Funk M. Propensity score trimming mitigates bias due to covariate measurement error in inverse probability of treatment weighted analyses: a plasmode simulation. Stat Med. 2021 Apr;40(9):2101-12. doi: 10.1002/sim.8887

Webster-Clark M, Sturmer T, Wang T, Man K, Marinac‐Dabic D, Rothman KJ, Ellis AR, Gokhale M, Lunt M, Girman C, Glynn RJ. Using propensity scores to estimate effects of treatment initiation decisions: state of the science. Stat Med. 2021 Mar 30;40(7):1718-35. doi: 10.1002/sim.8866

Quintana M, Shrader J, Slota C, Joe G, McKew JC, Fitzgerald M, Gahl WA, Berry S, Carrillo N. Bayesian model of disease progression in GNE myopathy. Stat Med. 2019 Apr 15;38(8):1459-74. doi: 10.1002/sim.8050

Neugebauer R, Schmittdiel JA, Zhu Z, Rassen JA, Seeger JD, Schneeweiss S. High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions. Stat Med. 2015 Feb 28;34(5):753-81. doi: 10.1002/sim.6377

Herring WL, Herrmann JW. The single-day surgery scheduling problem: sequential decision-making and threshold-based heuristics. OR spectrum: quantitative approaches in management. 2012 Apr 1;34(2):429-59.

Garcia R, Benet M, Arnau C, Cobo E. Efficiency of the cross-over design: an empirical estimation. Stat Med. 2004 Dec 30;23(24):3773-80. doi: 10.1002/sim.2072.