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

Chapman L, Richardson S, McLeod L, Rimm E, Cohen J. Pilot evaluation of aggregate plate waste as a measure of students' school lunch consumption. Presented at the 2019 Annual Meeting of the American Society for Nutrition; June 9, 2019. Baltimore, MD. [abstract] Curr Dev Nutr. 2019 Jun 13; 3(Suppl 1):1391-2.

Webb J, Saande CJ, Schalinske K, Rowling M. Whole egg consumption in Zucker diabetic fatty rats display a dose-dependent reduction in weight gain and total body fat, accompanied by an increase in lean body mass. Poster presented at The Nutrition 2019; June 8, 2019. Baltimore, MD. [abstract] Curr Dev Nutr. 2019 Jun 13; 3(Suppl 1):P21-054-1. doi: 10.1093/cdn/nzz041.P21-054-19

Saande CJ, Steffes MA, Webb JL, Valentine RJ, Rowling MJ, Schalinske KL. Whole egg consumption impairs insulin sensitivity in a rat model of obesity and type 2 diabetes. Curr Dev Nutr. 2019 Mar 11;3(4):nzz015. doi: 10.1093/cdn/nzz015

Saande CJ, Coonts C, Reed CH, Hahn KE, Rowling MJ, Schalinske K. Consumption of dietary whole egg reduces cumulative body weight gain in diet-induced obese rats. Curr Dev Nutr. 2018 Nov;2(11):P23-092. doi: 10.1093/cdn/nzy050

Kohlmeier M, Dong O. CKM genetic variants and muscle vulnerability to low magnesium intake. Presented at the 2018 American Society for Nutrition Annual Meeting; June 11, 2018. Boston, MA. [abstract] Curr Dev Nutr. 2018 Jun 28; 2(11). doi: 10.1093/cdn/nzy044

Dong OM, Suzuki O, Howard R, Jamieson K, Pointer M, Kohlmeier M, Wiltshire T. Characterizing the genetics of salt sensitivity: a cost-efficient assay in development. Poster presented at the 2018 American Society for Nutrition Annual Meeting; June 10, 2018. Boston, MA. [abstract] Curr Dev Nutr. 2018; 2(11).

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

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.

Herring WL, Herrmann JW. The single-day surgery scheduling problem: sequential decision-making and threshold-based heuristics. OR spectrum: quantitative approaches in management. 2012 Apr 1;34(2):429-59.

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.