Introduction to R (Biostatistics 503)
Winter 2008: We are again offering BIO503 for the coming winter session. The course will be taught by Aedin Culhane, a research scientist at Dana-Farber Cancer Institute. M/W, Jan 7,9,14,16,23, 1:30-4:30, Kresge LL-19. The 2008 course website is accessible to the public (hopefully).
Aedin is recommending that students buy one of the following two books depending on their background and expected future use of statistics. One is Venables, WN and Ripley, BD. (2002) Modern Applied Statistics with S, 4th ed. This is a more advanced book in terms of the statistics it covers. The second is Dalgaard, P. (2002) Introductory Statistics with R. This covers less advanced statistical methods. In terms of their material on R itself, both cover the basics of the R language, so students should choose a book that they think will be most useful in their future work.
Winter 2007, 2006: I have sponsored an introductory winter session course in R, taught in 2006 by Jarek Harezlak and in 2007 by Subharup Guha. The purpose of the course is to introduce non-statistics graduate students to R. The 2007 course website is accessible to the public (hopefully).
Introduction to Geographical Information Systems Using ArcGIS (Biostatistics 504)
Winter 2008: We are again offering BIO504 for the coming winter session, again taught by Sumeeta Srinivasan. M/W/F, Jan 4,7,9,14,16, 9:30-1:00, Kresge LL-6. The 2008 course website is accessible to the public (hopefully).
Winter 2007: I sponsored an introductory winter session course in GIS, taught by Sumeeta Srinivasan of FAS and the Center for Geographic Analysis. The 2007 course website is accessible to the public (hopefully).
Bayesian Methodology in Biostatistics (Biostatistics 249)
Fall 2007: I taught Bio249, the first offering of the course in several years. The course website is accessible to the public (hopefully).
Spatial Statistics for Public Health and Social Inquiry (Biostatistics 283/Statistics 155)
Spring 2007: Rima Izem (Harvard Statistics) and I co-taught a full semester spatial statistics class aimed at non-statistics graduate students and advanced undergraduates. Our aim was to provide an applied introduction to spatial statistics, following the template of Biostatistics 226, Applied Longitudinal Analysis. The course website is accessible to the public (hopefully).
Spatial Statistics for Health Research (Biostatistics 284)
Fall 2004: I co-taught a half-semester course on spatial statistics in public health research with Louise Ryan and Yi Li. I taught the third of the course dealing with point data. This included three lectures, one lab, and one day discussing code and papers on hierarchical modelling.
The lectures drew on material from a number of sources, giving an introduction to exploratory spatial analysis, covariance modelling and fitting, controlling for spatial correlation in regression analyses, kriging from classical and Bayesian perspectives, other methods for spatial smoothing including thin plate spline methods and radial basis functions, spatial and hierarchical modelling, and spatial design. This material has been superceded by the material in Biostatistics 283 (see above).
Last updated: November 2007.