Dr. Kari Lock Morgan
(née Kari Frazer Lock)
Assistant Professor
Department of Statistics
Penn State University

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Presentations

  1. Teaching Statistics Using Simulation-Based Inference Methods (2017).Discussant for JSM, Baltimore, MD.
  2. Redesigning Introduction to Biostatistics (2017). JSM, Baltimore, MD.
  3. Rerandomization: A Flexible Framework for Experimental Design (2017). Invited Poster for JSM, Baltimore, MD.
  4. Teaching Statisitcs Using a SBI Approach (2017). Webinar for Penn State STAT 200 Faculty. (video)
  5. Multiple Variables and Data Visualization in Intro Stat (Visualization links) (2017). Breakout Session for United States Conference on Teaching Statistics, State College, PA.
  6. Teaching a Data-Driven Approach to Inference (2017). Workshop for United States Conference on Teaching Statistics (USCOTS), State College, PA.
  7. Combining Experimental and Non-Experimental Design in Causal Inference (2017). Invited for Rao Prize Conference, State College, PA.
  8. Balancing Covariates via Propensity Score Weighting: The Overlap Weights (2017). Invited for PSU Methodology Center, State College, PA.
  9. Balancing Covariates via Propensity Score Weighting: The Overlap Weights (2016). Invited for Harvard University Statistics Department, Cambridge, MA.
  10. Making Computing Skills Part of Learning Introductory Stats (2016). Invited for Royal Statistical Society, London, England.
  11. Overlap Propensity Score Weighting to Balance Covariates (2016). JSM, Chicago, IL.
  12. Rerandomization to Balance Covariates (2016). Invited for University of Minnesota Biostatistics, Minneapolis, MN.
  13. Innovation in Intro: Case Studies and Data Science (2016). Invited for Southern Stat Chat, St. Olaf, Northfield, MN.
  14. Teaching Simulation-Based Inference (2016). Invited for Washington Statistical Society (WSS) Seminar Series, Washington, DC. (video)
  15. Revamping STAT 250: Introduction to Biostatistics (2016). Stochastic Modeling and Computing Seminar (SMAC) Talk, Penn State, State College, PA.
  16. Revamping the Undergraduate Curriculum in Light of the ASA Guidelines (2015). Topic-Contributed for JSM, Seattle, WA.
  17. Connecting Simulation-Based Inference with Traditional Methods, Breakout Session for United States Conference on Teaching Statistics (USCOTS) , State College, PA.
  18. Teaching Conceptual Understanding of Statistics (2015). TANGO Stat Ed Workshop, State College, PA.
  19. Teaching the Common Core: Making Inferences and Justifying Conclusions (2015). ASA K-12 Statistics Education Webinar. (video)
  20. Balancing Covariates via Propensity Score Weighting (2014). Stochastic Modeling and Computational Statistics (SMAC) Seminar , Penn State University.
  21. Rerandomization in Clinical Trials (2014). Invited for ASA Biopharmaceutical Section FDA-Industry Statistics Workshop , Washington, DC.
  22. One Crank or Two? (2014). Contributed for Joint Statistical Meetings (JSM) , Boston, MA.
  23. Building the Capacity of New PhDs and Graduate Students to Teach Statistics (2014). Invited Panel for International Conference on Teaching Statistics (ICOTS) , Flagstaff, AZ.
  24. StatKey: Online Tools for Bootstrap Intervals and Randomization Tests (2014). Invited Paper for ICOTS , Flagstaff, AZ.
  25. Modifying Introductory Courses to use Simulation Methods as the Primary Introduction to Statistical Inference, (2014). Workshop for ICOTS , Flagstaff, AZ.
  26. Balancing Covariates via Propensity Score Weighting (2014). Invited for Eastern North American Region (ENAR) Spring Meeting , Baltimore, MD.
  27. Teaching PhD Students How to Teach (2013). Contributed for JSM, Montreal, QC, Canada.
  28. StatKey: Online Tools for Teaching a Modern Introductory Statistics Course (2013). Breakout session for United States Conference on Teaching Statistics (USCOTS) , Raleigh, NC.
  29. Randomization and Bootstrap Methods in the Introductory Statistics Course (2013). Invited panel for Joint Mathematics Meetings (JMM), San Diego, CA.
  30. Simulating with StatKey (2013). Contributed for JMM, San Diego, CA. (Won Dexter C. Whittinghill III Outstanding Contributed Paper Award in Statistics Education).
  31. Using Randomization Methods to Build Conceptual Understanding of Statistical Inference (2013). Minicourse for JMM, San Diego, CA.
  32. Randomization and Bootstrap Methods in the Introductory Statistics Course (2013). Invited Panel for JMM, San Diego, CA.
  33. Using Simulation Methods to Introduce Statistical Inference (2012). Selected for American Mathematical Association of Two-Year Colleges (AMATYC), Jacksonville, FL.
  34. Understanding the p-value... Really!!! (2012). Invited for Wiley Faculty Network.
  35. Introducing Inference with Simulation Methods (2012). Topic-contributed for JSM, San Diego, CA.
  36. Introducing Inference with Bootstrapping and Randomization (2012). Invited for Electronic Conference on Teaching Statistics (ECOTS) . (video)
  37. Using Bootstrap Intervals and Randomization Tests to Enhance Conceptual Understanding in Introductory Statistics (2012). Invited for Wiley Faculty Network.
  38. Using Randomization Methods to Build Conceptual Understanding in Statistical Inference (2012). Minicourse for JMM, Boston, MA. (pptx)
  39. Using Simulation Methods to Introduce Inference (2011). Invited for CAUSE Webinar. (pptx) (video)
  40. Technology for Teaching Bootstraps and Randomizations (2011). Breakout session for USCOTS, Raleigh, NC.
  41. Rerandomization to Improve Covariate Balance in Randomized Experiments (2011). Dissertation Defense , Harvard University.
  42. "Stories from Award-Winning Teachers" (2011). Invited panel for Bok Center Winter Teaching Conference , Harvard University.
  43. Early Inference: Using Randomization to Introduce Hypothesis Tests (2011). Contributed for JMM, New Orleans, LA. (pptx)
  44. Rerandomizing Randomized Experiments (2010). JSM, Vancouver, Canada.
  45. Real-Life Module Statistics: A Happy Harvard Experiment (2010). Invited for ICOTS , Ljubljana, Slovenia.
  46. Resources for Teaching Statistics (2010). Harvard Statistics Teaching Retreat, Harvard University.
  47. What Clicks in the Classroom: The Power of Clickers (2010). Invited for International Conference on Technology in Collegiate Mathematics (ICTCM), Chicago, IL.
  48. Statistical Results (2010). Invited for Rigorous Research in Engineering Education (RREE), Cleveland, OH.
  49. Grading and Feedback (2010). Bok Center Winter Teaching Conference, Harvard University.
  50. Descriptive Statistics (2009). Invited for RREE, Miami, FL.
  51. Types of Research (2009). Invited for RREE, Miami, FL.
  52. Measurement in Education Research (2009). Invited for RREE, Miami, FL.
  53. Statistical Inference (2009). Invited for RREE, Miami, FL.
  54. Keeping Students Engaged (2009). Bok Center Fall Teaching Conference, Harvard University.
  55. Bayesian Combination of State Polls and Election Forecasts (2009). Invited for Harvard Institute for Quantitative Social Science (IQSS), Harvard University.
  56. Bayesian Combination of State Polls and Election Forecasts (2009). Contributed for JSM, Washington DC.
  57. Not Just Grades: Assessing Students & Yourself (2008). Bok Center Fall Teaching Conference, Harvard University.
  58. Unifying the Named Natural Exponential Families and their Relatives (2008). JSM , Denver, CO.
  59. Identifying Best Rational Approximations (2004). Mathfest (National MAA Meeting), Providence, RI.
  60. Simultaneous Approximation of Generalized Golden Ratios (2004). Mathfest, Providence, RI.
  61. Classifying Best Approximates Using Magical Intervals (2004). Hudson River Undergraduate Mathematics Conference (HRUMC), Mt. Holyoke College.
  62. Improving Accuracy by Adding Bias?!? (2004). Colloquium, Williams College.
  63. Finding Best Approximates Through Magical Intervals (2004). Poster for JMM, Phoenix, AZ.
  64. Making Best Approximates Appear through Magical Intervals (2003). Fall Regional MAA Meetings, Wellesley College.
  65. Graceful Graphs (2003). HRUMC, Union College.
  66. How Subjective is Figure Skating? (2002). HRUMC, Hamilton College.