| Research Nexus Sessions Archive |
Whenever possible Research Nexus Sessions are recorded. All Full sessions can be found on the Research Nexus YouTube Channel.
Please note that future sessions will be updated with the RSVP link, pre-session materials, and Zoom number once that information is available.
| 2018 Session Titles |
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February More Accurate Oral Cancer Screening with Fewer Salivary Biomarkers April PCORI Grant Progress May May 2nd- TBA
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| 2017 Session Titles |
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March Statistical Significance is Ruining Science April Medical Decision Making May Bayesian Comparative Effectiveness June What You Need to Know about Education Research July Mixed Models with Random Effects October Propensity Scores Rasch analysis fundamentals for education and outcomes research November Body Weight Perception Predictors and Trends in US Adults December Realistic Evaluation |
| Research Nexus Sessions 2018-2019 |
| April 26th 2018 |
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Senegenics will return to ATSU for a 1-hour seminar on their biomarker technology and potential collaboration with ATSU |
| April 4th 2018 |
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Overview of Concussion studies at ATSU and in the state of Arizona. Also addresses further work done with TBI survivors.
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| February 7th Session |
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More Accurate Oral Cancer Screening with Fewer Salivary Biomarkers Personalized healthcare will keep patients out of hospitals by better diagnosis and triage. Biomarkers offer the potential to improve diagnosis and treatment. A very important topic! All are welcome. |
| Research Nexus Sessions 2017-2018 |
| March Session |
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Statistical Significance is Ruining Science: Try Effect Sizes Instead. The "statistical significance problem" has been with us for many decades, but we are just now realizing how its unquestioned authority has led us towards bad clinical and policy decisions.
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| April Session |
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Medical Decision-Making: Reading Cancer Biomarkers like Tea Leaves or Psychological Tests April 19th Video Coming Soon |
| May Session |
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Bayesian Comparative Effectiveness Join Dr. Menke as he explains how Bayesian Comparative Effectiveness can help you choose what to research and make your research project a better investment. |
| June Session |
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What You Need to Know about Education Research Join Dr. Menke as he explains how reliability, validity and specificity come into play in education research. Check out the "10 Minute Topic" Introductory Video Browse this month's flashcards |
| July 26th Session |
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Mixed Models with Random Effects: Much Ado about Something or a Nothing Burger? Join biostatician Curt Bay as he looks at how longitudinal research is a design that incorporates repeated measurements of the same variables within the same subjects over time Check out the "10 Minute Topic" Introductory Video |
| October 11 Session |
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Propensity scores Richard Gerkin, MD, MS Dr. Gerkin is a dedicated physician-researcher with many publications and book chapters to his credit. He currently serves in the following capacities:
Medical Director, Graduate Medical Education Research, Banner—University Medical Center Phoenix and Associate Professor of Clinical Medicine and University of Arizona College of Medicine Phoenix
Selection bias is a problem that limits interpretation of results in nonrandomized studies. There are various ways to address this bias including multiple regression. Another way is by combining covariates into a single propensity score, which can be used in several ways to address the imbalance between the treatment groups. October 11 2017 |
| October 25th Session |
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Rasch analysis fundamentals for education and outcomes research Michael Menke, DC, PhD, Associate Director of ATSRI While the measurement of human states, abilities, competencies, and six kinds of knowledge (really?) may seem like a chaotic mess, their information can be tamed to a great extent by proper measurement. Elegant statistical solutions may be unnecessary when first getting reliable and valid measurement. Measuring pain as the primary treatment outcome may ignore the roles of fear, provider confidence, deficits in mobility and function, and general quality of life - or something we have not even considered. How do we measure to improve teaching and evaluating implicit and explicit knowledge from lectures, clinical exposure, and mentorship? If you start with strong measurement you may not need extensive “statistical repair” after data gathering. This is a topic fundamental to clinical and educational research. Watch the Introductory Video |
| November 29th Session |
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Body Weight Perception Predictors and Trends in US Adults: A 20 Year Longitudinal Study Presenter: Adrienne Moore, Finance Director, Banner University Medical Center This an opportunity for Adrienne to share data on an interesting subject which was performed as her PhD dissertation. Video Coming Soon- Released upon the Successful defense of Dr. Moore's dissertation. |
| December 13th Session |
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Realistic Evaluation Presenter: Barbara Maxwell, PT, DPT, MSc, Cert THE, FNAP Realistic evaluation bridges the gap between qualitative and quantitative research. It is a theory based approach to evaluation research that develops, empirically tests and refines program theories. Realistic Evaluation attempts to open the black box of programs to reveal what works, for whom, in what respects, in which circumstances and why? Founded on realist principles this approach has been applied to the evaluation of complex social interventions across diverse fields of inquiry such as healthcare, education, social and public policy. A very important topic! All are welcome. |
