Courses

• ST 511, Experimental Statistics for Biological Sciences I. I taught this course last in Spring 1997. Class notes (Beware: 339 pages!).

• ST 732, Applied Longitudinal Data Analysis. I taught this course last in Spring 2007. Visit the class web page for more info.

• ST 762, Nonlinear Models for Univariate and Multivariate Response. This course no longer exists, but the notes from the last time I taught it in Fall 2009 are available here.

• ST 790, Statistical Methods for Analysis With Missing Data. I taught this course last in Spring 2017. Visit the class web page for more info.

• ST 790, Longitudinal Data Analysis. I am teaching this course again in Spring 2018. Visit the class web page for more info.

• ST 810A, Preparation for Statistical Research. This course is meant to help graduate students to hone their oral and written communication skills and to introduce them to essential research resources, the world of publication, getting grants, tenure, applying for a position, and all the other fun stuff associated with a career in research. I taught this course in Spring 2005; the class web page is the place to visit for course info and handouts.

• ST/MA 810C, Mathematical-Statistical Modeling and Analysis of Complex Systems. I taught this special topics course with Tom Banks of the NCSU Center for Research in Scientific Computation in Fall 2009. This course was meant for PhD students in Statistics, Applied Mathematics, Biomathematics, or other quantitative disciplines interested in learning about how mathematical models of complex biological and other systems can be integrated with statistical models that represent the variation that complicates applying these models to real problems in the biomedical and other sciences. Visit the course web page.

• ST 810Q, Inverse Problem Methodology in Complex Stochastic Models. This special topics class, which I taught in Fall 2002 with Tom Banks of the Center for Research in Scientific Computation at NCSU, introduced students in statistics and applied mathematics to the use of complex dynamical systems models in data analysis. The course was part of the Program on Inverse Problem Methodology in Complex Stochastic Models at SAMSI , headquartered in the NISS building in Research Triangle Park.