January 2012 Modeling SNPs to Understand Bacterial Evolution
Introduction: Turning a scientific paper into an open‐ended classroom experience.
Paper: Lieberman, T.D. et al. Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes. Nature Genetics 43:1174‐1176 doi:10.1038/ng.1011
June 11, 2011 Exploratory Data Analysis and Visualization
Introduction: We will explore the data and discover patterns, reanalyze the data based on results from the accompanying paper to deepen our grasp of statistical analysis, “unpack” the paper to consider how a scientific paper in this discipline is written and how results can be succinctly communicated, and focus on a specific aspect of the paper and develop a poster where the results are visually displayed.
Paper: Garfinkel, Alan, et. al. “Prognostic Value of Dobutamine Stress Echocardiography in Predicting Cardiac Events in Patients With Known or Suspected Coronary Artery Disease.” Journal of the American College of Cardiology 33(3) (1999) 708‐16.
March 19, 2011 Cancer: A Global View
Introduction: Use the topics of cancer and global health and the resource Gapminder to focus on reading graphs and emphasize the differences between linear, semi-log, and log-log views of the data. Use Excel to model tumor growth in order to make predictions based on re-sampling data.
Interactive visual statistics with access to global data
Links of Interest:
June 12, 2010 Numbers Count: Using Excel with Gapminder
Introduction: HHMI Numbers Count Project features data, tools, and curricular materials for use in the classroom to support student observation, experimentation and modeling quantitative exploration.
Interactive visual statistics with global examples
Gap Minder Tables (pdf)
AAMC-HHMI Report (pdf)
March 5, 2010 Measurement and Error
Introduction: Discuss measurement and data gathering in the workplace. Could physicians rely on medical data without calibration? Follow-up Excel activity that clearly demonstrates why error control is essential in insuring that data is reliable.
June 12, 2010 Image J Analysis: Counting Sheep
Introduction: Using image data through measurements of distance and area as well as counts.