Publications

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Displaying 1 through 8 of 8 publications.

Herring WL, Gould IG, Wittrup-Jensen V, Ertle J, Kuti E, Wolowacz S. Evaluation of emerging NASH therapies: the impact of treatment efficacy profiles on long-term health outcomes. J Comp Eff Res. 2022 Dec 1;11(18):1349-63. doi: 10.2217/cer-2021-0194

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

Joshi K, Muser E, Xu Y, Schwab P, Datar M, Suehs B. Adherence and economic impact of paliperidone palmitate versus oral atypical antipsychotics in a Medicare population. J Comp Eff Res. 2018 Aug;7(8):723-35. doi: 10.2217/cer-2018-0003

Meyers J, Gajria K, Candrilli SD, Fridman M, Sikirica V. The impact of adjunctive guanfacine extended release on stimulant adherence in children/adolescents with attention-deficit/hyperactivity disorder. J Comp Eff Res. 2017 Mar;6(2):109-25. doi: 10.2217/cer-2016-0039

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

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.