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
Ensor CR, Iasella CJ, Harrigan (Zhang) KM, Morrell MR, Moore CA, Shigemura N, Zeevi A, McDyer JF, Venkataramanan R. Increasing tacrolimus time-in-therapeutic range is associated with superior one-year outcomes in lung transplant recipients. Am J Transplant. 2018 Jun;18(6):1527-33. doi: 10.1111/ajt.14723
Xu H, Kaye JA, Saltus CW, Crawford J, Gasa E, Goodnough LT. Blood utilization and hemoglobin levels in cancer patients after label and coverage changes for erythropoiesis-stimulating agents. Expert Rev Hematol. 2014 Oct;7(5):617-33. doi: 10.1586/17474086.2014.943730
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.
Rivero E, Varas-Lorenzo C, Maguire AR, Eisen HJ, Pedersen TR, Nashan B, Elkammas E. 10-Year predicted probability of coronary heart disease in renal transplant recipients treated with everolimus or mmf. Poster presented at the American Transplant Congress; April 2002. Washington, DC. [abstract] Am J Transplant. 2002; 2(Suppl 3):418.