Dr. Tao Le presents "Accelerating Innovation in Academic Medicine" with the help three panelists: Dr. In Kim, Dr. Gerard Rabalais, and Dr. Brad Sutton. Dr. Le discusses various topics like design thinking, team based learning, and the innovation code.
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In the Eleventh lecture of our Research Series, Stephen Furmanek discusses Quality Improvement projects. This video examines different methods for displaying the results and how to determine which method is best.
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In the Tenth lecture of our Research Series, Annuradha Persaud discusses various aspects of Diagnostic Tests. More specifically, this video will discuss how to calculate the measures of diagnostic accuracy, how to utilize the calculations clinically, and how to interpret RUC curves and AUC curves.
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In the Ninth lecture of our Research Series, Dr. Brian Guinn discusses different ways to interpret Categorical Data. This lecture specifically looks at risk ratios, odds ratios, and Chi squared.
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In the Eighth lecture of our Research Series, Dr. Stephen Furmanek discusses the difference between clinical thinking and statistical thinking. Topics also covered are p-values, effect sizes, and confidence intervals.
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In the Seventh lecture of our Research Series, Dr. Annuradha Persaud discussesthe uses of REDCap (Research Electronic Data Capture). REDCap is a browser-based, metadata-driven EDC software solution and workflow methodology for designing clinical and transnational research databases.
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In the Sixth lecture of our Research Series, Dr. Paula Peyrani discusses the process of clinical research. Some of the topics examined are Data Collection, Pretesting, Data Entry, and Data Quality.
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In the Fifth lecture of our Research Series, Dr. Paula Peyrani discusses the IRB (Institutional Review Board) review process, and how to determine which type of review (exempt, expedited, or full) a study needs. This video also examines the regulatory documentation process.
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In the Fourth lecture of our Research Series, Dr. Stephen Furmanek discusses the various issues that could arise while conducting a study. Some of the topics he covers are how to determine the correct sample size, and how results can be effected by the effect size, and variance or the data set.
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