Publications

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Displaying 1 through 7 of 7 publications.

Mansfield C, Botha W, Vondeling GT, Klein K, Wang K, Singh J, Hackshaw MD. Patient preferences for features of HER2-targeted treatment of advanced or metastatic breast cancer: a discrete-choice experiment study. Breast Cancer. 2023 Jan;30(1):23-35. doi: 10.1007/s12282-022-01394-6

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

Lin HM, Davis KL, Kaye JA, Luptakova K, Nagar SP, Mohty M. Real-world treatment patterns, outcomes, and healthcare resource utilization in relapsed or refractory multiple myeloma: evidence from a medical record review in France. Adv Hematol. 2019 Jan 29;2019(4625787). doi: 10.1155/2019/4625787

Davis KL, Cote I, Kaye JA, Mendelson E, Gao H, Perez Ronco J. Real-world assessment of clinical outcomes in patients with lower-risk myelofibrosis receiving treatment with ruxolitinib. Adv Hematol. 2015 Oct;2015(2015):848473. doi: 10.1155/2015/848473

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.