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
Trivedi MS, Colbeth H, Yi H, Vanegas A, Starck R, Chung WK, Appelbaum PS, Kukafka R, Schechter I, Crew KD. Understanding factors associated with uptake of BRCA1/2 genetic testing among Orthodox Jewish women in the USA using a mixed-methods approach. Public Health Genomics. 2018 Jun;21(5-6):186-96. doi: 10.1159/000499852
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.
Walker AW, Loughlin JE, Friedlander ER, Rothman KJ, Dreyer NA. Projections of asbestos-related disease, 1980-2009. J Occup Med. 1983 May;25(5):409-25.