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
Bhargava S, Bamaca-Colbert MY, Witherspoon DP, Pomerantz EM, Robins RW. Examining socio-cultural and neighborhood factors associated with trajectories of Mexican-origin mothers' education-related involvement. J Youth Adolescence. 2017 Aug;46(8):1789-804. doi: 10.1007/s10964-016-0628-6
Bhargava S, Witherspoon DP. Parental involvement across middle and high school: exploring contributions of individual and neighborhood characteristics. J Youth Adolescence. 2015 Sep 1;44(9):1702-19. doi: 10.1007/s10964-015-0334-9
Pladevall M, Divine G, Wells KE, Resnicow K, Williams LK. A randomized controlled trial to provide adherence information and motivational interviewing to improve diabetes and lipid control. Diabetes Educ. 2015 Feb;41(1):136-46.
Williams GC, Patrick H, Niemiec CP, Williams LK, Divine G, Lafata JE, Heisler M, Tunceli K, Pladevall-Vila M. Reducing the health risks of diabetes: how self-determination theory may help improve medication adherence and quality of life. Diabetes Educ. 2009 Mar 26;35(3):484-92.
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.