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
Hill NL, Mogle J, Bhargava S, Bell TR, Bhang I, Katz M, Sliwinski MJ. Longitudinal relationships among depressive symptoms and three types of memory self-report in cognitively intact older adults. Int Psychogeriatr. 2020 Jun;32(6):719-32. doi: 10.1017/S104161021900084X
Hill NL, McDermott C, Mogle J, Munoz E, DePasquale N, Wion R, Whitaker E. Subjective cognitive impairment and quality of life: a systematic review. Int Psychogeriatr. 2017 Dec;29(12):1965-77.
Wolowacz SE, Petrillo J, Doward LC, Briggs A. Measuring health-state utility values in clinical trials: can we do better? Ispor Connections. 2014 Sep;20(5):4-8.
Stull DE, Houghton KF, Petrillo J. Innovative data analysis for demonstrating product value: analysis of heterogeneity in treatment response in clinical trials. Ispor Connections. 2013;19(1):5-8.
Masters E, Zlateva G, Harris NI. Real-world data for use in the real world: the pain paradigm. Ispor Connections. 2013;19(2):9-11.
Wolowacz SE, Khan SB. The New National Institute of Health and Clinical Excellence (NICE) Single Technology Appraisal (STA) process: experience from the first completed appraisals. Ispor Connections. 2007;13(2):12-5.
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.
Mansfield CA. A consistent method for calibrating contingent value survey data. South Econ J. 1998;64(3):665-81.