Hunter West oral history interview by Danielle Riley, January 16, 2004

Hunter West, former captain of the University of South Florida Men\u27s Soccer Team, discusses the nature of playing for the University\u27s soccer program

Kerine Black oral history interview by Danielle E. Riley, May 4, 2004

Kerine Black, a former student and track athlete, discusses coming to the United States from Jamaica shortly before starting college. She also discusses her decision to come to USF and her time on the track and field team. Black was an alternate for the Jamaican Olympic team in 2000. She currently works for JP Morgan Chase Bank in the Treasury Service and remains in Tampa

Kenneth Eriksen oral history interview by Danielle E. Riley, February 2, 2004

Ken Eriksen, a USF alum and head coach of the softball team, talks about his experiences as both student and coach. Eriksen has experienced numerous successes as a student, an athlete and a coach

Incorporating Genetics into Your Studies: A Guide for Social Scientists

There has been a surge of interest in recent years in incorporating genetic components into on-going longitudinal, developmental studies and related psychological studies. While this represents an exciting new direction in developmental science, much of the research on genetic topics in developmental science does not reflect the most current practice in genetics. This is likely due, in part, to the rapidly changing landscape of the field of genetics, and the difficulty this presents for developmental scientists who are trying to learn this new area. In this review, we present an overview of the paradigm shifts that have occurred in genetics and we introduce the reader to basic genetic methodologies. We present our view of the current stage of research ongoing at the intersection of genetics and social science, and we provide recommendations for how we could do better. We also address a number of issues that social scientists face as they integrate genetics into their projects, including choice of a study design (candidate gene versus genome-wide association versus sequencing), different methods of DNA collection, and special considerations involved in the analysis of genotypic data. Through this review, we hope to equip social scientists with a deeper understanding of the many considerations that go into genetics research, in an effort to foster more meaningful cross-disciplinary initiatives

Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models.

Many meta-analysis models contain multiple parameters, for example due to multiple outcomes, multiple treatments or multiple regression coefficients. In particular, meta-regression models may contain multiple study-level covariates, and one-stage individual participant data meta-analysis models may contain multiple patient-level covariates and interactions. Here, we propose how to derive percentage study weights for such situations, in order to reveal the (otherwise hidden) contribution of each study toward the parameter estimates of interest. We assume that studies are independent, and utilise a decomposition of Fisher's information matrix to decompose the total variance matrix of parameter estimates into study-specific contributions, from which percentage weights are derived. This approach generalises how percentage weights are calculated in a traditional, single parameter meta-analysis model. Application is made to one- and two-stage individual participant data meta-analyses, meta-regression and network (multivariate) meta-analysis of multiple treatments. These reveal percentage study weights toward clinically important estimates, such as summary treatment effects and treatment-covariate interactions, and are especially useful when some studies are potential outliers or at high risk of bias. We also derive percentage study weights toward methodologically interesting measures, such as the magnitude of ecological bias (difference between within-study and across-study associations) and the amount of inconsistency (difference between direct and indirect evidence in a network meta-analysis)

Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples

Organisations such as the National Institute for Health and Care Excellence require the synthesis of evidence from existing studies to inform their decisions—for example, about the best available treatments with respect to multiple efficacy and safety outcomes. However, relevant studies may not provide direct evidence about all the treatments or outcomes of interest. Multivariate and network meta-analysis methods provide a framework to address this, using correlated or indirect evidence from such studies alongside any direct evidence. In this article, the authors describe the key concepts and assumptions of these methods, outline how correlated and indirect evidence arises, and illustrate the contribution of such evidence in real clinical examples involving multiple outcomes and multiple treatment

Hybrid Theory: Creation of a Faculty Position That Allows Half-Time Hospice Employment Alongside Academic Palliative Care

BACKGROUND: The specialty of hospice and palliative medicine struggles to merge the fast-paced technological consultative work of acute hospital palliative care with slower paced and home-based hospice. Each has equal if different merits. Here, we describe creation of a position that allowed half-time hospice employment, alongside academic hospital-based palliative care. METHODS: Johns Hopkins Medicine and Gilchrist, Inc., a large nonprofit hospice, partnered to form a joint position with time spent equally between the two locations. RESULTS: Created as a university position with leasing to the hospice, specific attention has been paid to mentoring at both sites to allow professional advancement. Both organizations have benefited in terms of recruitment, and more physicians have chosen this dual pathway suggesting that it is working well. DISCUSSION: Hybrid positions are possible and may be desired by those who wish to practice both palliative medicine and hospice. Creation of one successful position helped recruit a second and a third candidate a year later. The original recipient has been promoted within Gilchrist to direct the inpatient unit. Such positions require careful mentoring and coordination to allow success at both sites and this can be done with foresight

Molecular Genetic Influences on Normative and Problematic Alcohol Use in a Population-Based Sample of College Students

Background: Genetic factors impact alcohol use behaviors and these factors may become increasingly evident during emerging adulthood. Examination of the effects of individual variants as well as aggregate genetic variation can clarify mechanisms underlying risk. Methods: We conducted genome-wide association studies (GWAS) in an ethnically diverse sample of college students for three quantitative outcomes including typical monthly alcohol consumption, alcohol problems, and maximum number of drinks in 24 h. Heritability based on common genetic variants (h2SNP) was assessed. We also evaluated whether risk variants in aggregate were associated with alcohol use outcomes in an independent sample of young adults. Results: Two genome-wide significant markers were observed: rs11201929 in GRID1 for maximum drinks in 24 h, with supportive evidence across all ancestry groups; and rs73317305 in SAMD12 (alcohol problems), tested only in the African ancestry group. The h2SNP estimate was 0.19 (SE = 0.11) for consumption, and was non-significant for other outcomes. Genome-wide polygenic scores were significantly associated with alcohol outcomes in an independent sample. Conclusions: These results robustly identify genetic risk for alcohol use outcomes at the variant level and in aggregate. We confirm prior evidence that genetic variation in GRID1impacts alcohol use, and identify novel loci of interest for multiple alcohol outcomes in emerging adults. These findings indicate that genetic variation influencing normative and problematic alcohol use is, to some extent, convergent across ancestry groups. Studying college populations represents a promising avenue by which to obtain large, diverse samples for gene identification