Publications

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Displaying 1 through 14 of 14 publications.

Oberprieler NG, Pladevall-Vila M, Johannes C, Layton JB, Golozar A, Lavallee M, Liu F, Kubin M, Vizcaya D. FOUNTAIN: a modular research platform for integrated real-world evidence generation. BMC Med Res Methodol. 2024 Oct 1;24(1):224. doi: 10.1186/s12874-024-02344-w

Khan A, Lin P, Kamdar N, Peterson M, Mahmoudi E. Potentially preventable hospitalizations and use of preventive services among people with multiple sclerosis: large cohort study, USA. Mult Scler Relat Disord. 2022 Dec;68:104105. doi: 10.1016/j.msard.2022.104105

Kamudoni P, Amtmann D, Johns J, Cook KF, Salem R, Salek S, Raab J, Middleton R, Repovic P, Alschuler KN, von Geldern G, Wundes A, Barrett A, Olayinka-Amao B, Henke C. The validity, responsiveness, and score interpretation of the PROMISnq Physical Function - Multiple Sclerosis 15a short form in multiple sclerosis. Mult Scler Relat Disord. 2022 Jun;62:103753. doi: 10.1016/j.msard.2022.103753

Poudel N, Banjara B, Kamau S, Frost N, Ngorsuraches S. Factors influencing patients' willingness-to-pay for disease-modifying therapies for multiple sclerosis. Mult Scler Relat Disord. 2021 Feb;48:102720. doi: 10.1016/j.msard.2020.102720

Penner I-K, McDougall F, Brown TM, Slota C, Doward L, Julian L, Belachew S, Miller D. Exploring the impact of fatigue in progressive multiple sclerosis: a mixed-methods analysis. Mult Scler Relat Disord. 2020 Aug;43:102207. doi: 10.1016/j.msard.2020.102207

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.

Pajouheshnia R, Peelen LM, Moons KGM, Reitsma JB, Groenwold RHH. Accounting for treatment use when validating a prognostic model: a simulation study. BMC Med Res Methodol. 2017 Jul 14;17(1):103. doi: 10.1186/s12874-017-0375-8

Pajouheshnia R, Pestman WR, Teerenstra S, Groenwold RHH. A computational approach to compare regression modelling strategies in prediction research. BMC Med Res Methodol. 2016 Aug 25;16(1):107. doi: 10.1186/s12874-016-0209-0

Le HV, Poole C, Brookhart MA, Schoenbach VJ, Beach KJ, Layton JB, Stumer T. Effects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: an empirical example. BMC Med Res Methodol. 2013 Nov 19;13:142. doi: 10.1186/1471-2288-13-142

Xu J, Evans J, Coon C, Copley-Merriman K, Su Y. Measuring patient-reported outcomes in advanced gastric cancer. Ecancermedicalscience. 2013;7:351. doi: 10.3332/ecancer.2013.351.

Schneeweiss S, Rassen JA, Glynn RJ, Myers J, Daniel GW, Singer J, Solomon DH, Kim SY, Rothman KJ, Avorn J. Supplementing claims data with outpatient laboratory test results to improve confounding adjustment in effectiveness studies of lipid-lowering treatments. BMC Med Res Methodol. 2012 Nov 26;12(11):180.

Gili M, Luciano JV, Bauzá N, Aguado J, Serrano MJ, Armengol S, Roca M. Psychometric properties of the IDS-SR30 for the assessment of depressive symptoms in Spanish population. BMC Med Res Methodol. 2011 Sep;21(11):131.

Luciano JV, Ayuso-Mateos JL, Aguado J, Fernandez A, Serrano-Blanco A, Roca M, Haro JM. The 12-item World Health Organization Disability Assessment Schedule II (WHO-DAS II): a nonparametric item response analysis. BMC Med Res Methodol. 2010 May 20;10(45). doi: 10.1186/1471-2288-10-45.