Short Courses

• Methods for Developing and Evaluating Prediction Models for Dynamic Decision-Making (with P. Heagerty)
  Topics covered: Model development using joint models and partly conditional models, model evaluation using measures of discrimination accuracy that are appropriate for survival outcomes.
  • 2017, 2019: University of Washington Summer Institutes: Statistics for Clinical Research, Seattle WA.
  • 2016, 2019: Society for Medical Decision Making Annual Meeting
• Survival Analysis
  • 2013: Erasmus University Summer Programme, Rotterdam, The Netherlands

Graduate Courses at the University of Washington

• 2017-2020: Instructor - Medical Biometry II (Biost 512, Department of Biostatistics)
  Graduate level course for non-biostatistics students. Topics include multiple regression, analysis of covariance, and an introduction to one-way and two-way analyses of variance, including assumptions, transformations, outlier detection, dummy variables, and variable selection procedures. Examples drawn from the biomedical literature with computer assignments using standard statistical computer packages.
• 2016: Co-Course Master - Graduate Seminar (Pharm 597, Pharmaceutical Outcomes Research & Policy Program)
• 2014: Guest Lecturer - Pharmacy Practice IV: Design and Analysis of Medical Studies (Pharm 592, Department of Pharmacy)
  Graduate level course for PharmD students. Introduces the basic biostatistical concepts used in the medical literature, and the various study designs. Develops students' skills in critically evaluating the medical literature, with the goal of applying these skills to clinical practice.
• 2011: Guest Lecturer - Statistical Methods for the Evaluation of Biomarkers and Medical Tests (Biost 578, Department of Biostatistics)
  Graduate level special topics course for biostatistics students. Presents concepts and techniques necessary for evaluating biomarkers or other medical tests used for classification or prediction purposes. This includes applications in diagnosis, disease screening, prognosis and risk prediction.
• 2010: Teaching Assistant - Biostatistical Reasoning for the Health Sciences (Biost 508, Department of Biostatistics)
  Graduate level course for non-biostatistics students. Provides a broad overview of biostatistical methods, emphasizing interpretation and concepts rather than computation or mathematical details. Introduces basic concepts of study design, data summaries and presentation, statistical inference (including hypothesis testing, p-values, and confidence intervals) and modeling approaches such as regression analysis.
• 2009: Teaching Assistant - Medical Biometry II (Biost 512, Department of Biostatistics)
  Graduate level course for non-biostatistics students. Topics include multiple regression, analysis of covariance, and an introduction to one-way and two-way analyses of variance, including assumptions, transformations, outlier detection, dummy variables, and variable selection procedures. Examples drawn from the biomedical literature with computer assignments using standard statistical computer packages.