In this webinar, Drs. Maria Fernandez and Gregory Aarons discuss the development, submission, and review of grants and scientific publications from the perspective of both author and reviewer. They also touch on larger issues for the field including the scientific and technical aspects of career development in implementation science, focusing research efforts, and the landscape of traditional journals, open access, social media, and other mechanisms for communicating.
In this Methods: Mind the Gap presentation, Dr. MacKinnon describes mediation analysis and the connections between traditional mediation analysis and recently developed causal mediation analysis.
This training is geared towards raising comprehension of fundamental data science processes and concepts across ten technical data science competencies: research design, programming and scripting, computer science, advanced math, database science, data mining and integration, statistical modeling, machine learning, operations research, and data visualization.
This FAES course demonstrates and practices the use of R in creating and presenting data visualizations. After a short introduction to R tools, especially the tidyverse packages, the course covers principles for data visualization, examples of good and bad visualizations, and the use of ggplot2 to create static publication-quality graphs. Students also have the chance to learn about modern web-based interactive graphics using the html widgets packages as well as dynamic graphics and dashboards that can be created using flexdashboard and Shiny. The course explores ways in which bioinformatics data can be presented using static and dynamic visualizations. Finally, RMarkdown and other packages are used to develop webpages for presenting data visualizations as self-explanatory and possibly interactive storyboards.
During this webinar, Dr. Niven provides an overview of work on de-implementation while Dr. Norton provides cancer specific examples and insights. The session includes approximately 25 minutes of comments from the speaker and 35 minutes for engaged discussion and Q&A with the audience.
This one-day workshop explores challenges and strategies for design and analysis of embedded pragmatic clinical trials (PCT) that are conducted within health care systems.
This Methods: Mind the Gap webinar provides an introduction to individually randomized group-treatment (IRGT) trials, reviews current approaches to design and analysis, and highlights areas where further work is needed.
In this Methods: Mind the Gap webinar, Dr. David M. Murray reviews the options available to evaluate multilevel interventions, including group- or cluster-randomized trials, and discusses their strengths and weaknesses.
In this Methods: Mind the Gap webinar, Dr. Melody S. Goodman discusses her efforts to develop and validate quantitative measures of stakeholder engagement in research and research literacy. Emerging data suggest a valid and reliable measure to accurately assess associations between research outcomes and stakeholder engagement. Data on the measure of research literacy show mixed results and Dr. Goodman discusses potential areas for modification.
This webinar outlines successes, motivators, and challenges faced by early-stage investigators in the field. In response to audience feedback, the speakers touch on issues in implementation science, such as training, career development, and working with an active D&I funding portfolio with a focus on early and mid-career researchers.
In this Methods: Mind the Gap webinar, participants learn what the field of dissemination and implementation (D&I) is, why it is important, what it is trying to achieve, and how it is relevant to research and practice. Dr. Fernandez discusses the major components of a D&I study, D&I theories, models and frameworks, and design considerations. She also teaches participants how to tailor their own research to better enhance its value for dissemination and implementation.
This purpose of this Methods: Mind the Gap webinar is to equip public health researchers and practitioners with awareness and confidence in approaching and conducting qualitative research projects, and to familiarize participants with qualitative data collection and data analysis techniques and tools.
In this Methods: Mind the Gap presentation, Dr. Jeffrey Sparks illustrates how epidemiologic and patient-oriented research studies can further the understanding of etiology and outcomes of rheumatoid arthritis (RA), a common chronic disease. Different study designs are needed to investigate different types of exposures and outcomes. This presentation discusses studies related to lifestyle factors, genetics, biomarkers, comorbid conditions for RA risk, and outcomes, focusing in particular on how inflammation in the lung may be a nidus for both RA onset and worsened clinical outcomes.
The objective of this FAES Graduate School is to provide a deeper understanding of epidemiologic research methodology that can be used to interpret critically the results of epidemiologic research. This understanding is the result of investigating conceptual models for study designs, disease frequency, measures of association and impact, imprecision, bias, and effect modification. The course emphasizes the interpretation of research, even when the design or execution of the respective research is less than ideal.
From Purchase to Plate: Linking USDA Nutrition Data with Retail Scanner Data to Assess the Healthfulness of America’s Food-at-Home Purchases
On May 23, 2019, NCCOR hosted a Connect & Explore webinar to discuss the findings in a recent publication from the U.S. Department of Agriculture Economic Research Service called “Linking USDA Nutrition Databases to IRI Household-Based and Store-Based Scanner Data.” USDA researchers created a purchase-to-plate “crosswalk”—linking USDA data and household retail scanner data—to measure the overall healthfulness of American’s food-at-home (FAH) purchases. Results show that improvements in the healthfulness of Americans’ FAH purchases are needed to comply with federal dietary guidance. The speaker is Andrea Carlson, PhD, MS,an economist in the Food Markets Branch of the Food Economics Division.
Genomics and Health Disparities Lecture Series: Exploring the Role of Genomics in Achieving Health Equality
This lecture series was formed to enhance opportunities for dialogue about how innovations in genomics research and technology can impact health disparities. Topics range from basic science to translational research.
Geospatial Data for Healthy Places: Building Environments for Active Living Through Opportunistic GIScience
In this Methods: Mind the Gap presentation, Dr. Miller discusses the role of geospatial technologies and data in facilitating quasi and natural experiments about built environment factors that encourage active living. He also extends this idea to the concept of geographic information observatories: systems for ongoing data collection and analysis that facilitate opportunistic science that can leverage real-world events via ongoing observation, experimentation, and decision-support.
In his Methods: Mind the Gap webinar, Dr. David Grossman focuses on the evidence gaps in children’s clinical preventive services and addresses how these gaps might be filled through a combination of different study designs that best address these gaps, including screening trials, treatment trials, and observational evidence across a broad variety of conditions.
In this introductory FAES Graduate School class, students learn the foundations of health economics and econometric modeling and apply them to the evaluation of biomedical research and public health programs.
Each year, the federal government collects, manages, and makes available considerable amounts of population health data. In this course, students gain working knowledge of databases, such as NHANES, NHIS, and MEPS, that are frequently used by public health analysts, policy makers, and researchers. The course will cover the types of variables that are included in each database. It will also discuss how the data are collected, how to retrieve the data, and how to prepare the data for statistical analysis. Using SAS or STATA, students learn how to develop appropriate research questions and analyze the data, with emphasis on data management, exploratory data analysis, regression analysis, and the interpretation of statistical analysis. Finally, students will study a series of published papers on health policy in order to understand the application of statistical methods to the field.