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The Danish-American Research Exchange (DARE): a cross-sectional study of a binational research education program.
BMC Med Educ
February 2023
Department of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA.
Background: Most medical educational programs emphasize clinical observation or clinical skill acquisition, fewer focus upon research. The Danish-American Research Exchange (DARE) program, sponsored by the Lundbeck Foundation, is unique in that the medical student initiates biomedical research collaboration between Danish and US medical institutions. To achieve this, Danish medical students (DARE students) conduct binational mentored research projects while based in the United States for 10 months.
View Article and Find Full Text PDFIntertwined: What makes food and wine pairings appropriate?
Food Res Int
October 2020
School of Agriculture, Food and Wine, Waite Research Institute, The University of Adelaide (UA), PMB 1, Glen Osmond, South Australia 5064, Australia. Electronic address:
This study sought to identify sensory attributes of appropriate food and wine pairings and relate them to balance, consumer liking, sensory complexity, and expected price. A descriptive analysis panel (n = 8) evaluated four Australian Shiraz wines along with four complex food samples, yielding 16 wine and food combinations. Based on the sensory profiles, distinct food and wine pairings (n = 6) were selected for consumer preference tests, comprising a real life, pseudo-three course meal with two wines.
View Article and Find Full Text PDFThe Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement.
Ann Intern Med
January 2020
Leiden University Medical Center, Leiden, the Netherlands (E.W.S.).
Heterogeneity of treatment effect (HTE) refers to the nonrandom variation in the magnitude or direction of a treatment effect across levels of a covariate, as measured on a selected scale, against a clinical outcome. In randomized controlled trials (RCTs), HTE is typically examined through a subgroup analysis that contrasts effects in groups of patients defined "1 variable at a time" (for example, male vs. female or old vs.
View Article and Find Full Text PDFThe PATH (Predictive Approaches to Treatment effect Heterogeneity) Statement was developed to promote the conduct of, and provide guidance for, predictive analyses of heterogeneity of treatment effects (HTE) in clinical trials. The goal of predictive HTE analysis is to provide patient-centered estimates of outcome risk with versus without the intervention, taking into account all relevant patient attributes simultaneously, to support more personalized clinical decision making than can be made on the basis of only an overall average treatment effect. The authors distinguished 2 categories of predictive HTE approaches (a "risk-modeling" and an "effect-modeling" approach) and developed 4 sets of guidance statements: criteria to determine when risk-modeling approaches are likely to identify clinically meaningful HTE, methodological aspects of risk-modeling methods, considerations for translation to clinical practice, and considerations and caveats in the use of effect-modeling approaches.
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