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Brent A. JohnsonTeachingResearchPublicationsSoftwareBiostatistics HomeSchool of Public Health HomeEmory Home |
Associate Professor TeachingBIOS 522: Survival Analysis MethodsStarting in the Fall 2012, I began teaching Survival Analysis Methods. This course is an introduction to data analyses with censored and truncated data with my primary text Applied Survival Analysis by Hosmer, Lemeshow, and May. This is an MS-level course and the intended audience is all graduate students with approved prerequisite credentials. The prequisites are BIOS 506, 507, plus some calculus and statistical experience, preferably at the BIOS 510 and 511 level or by permission of instructor. Please link to the survival analysis course website for detailed information.Years taught
Fall 2012
BIOS 560R: Nonlinear RegressionIn the Spring 2012, I am teaching a new course in nonlinear regression. The course is modeled after a similar course by Marie Davidian (NCSU, Statistics) with my primary texts being Davidian and Giltinan (1995) and Carroll and Ruppert (1988). This an MS-level course and the intended audience is BIOS MSPH and MPH students as well as non-BIOS graduate students with relevant experience. Of course, BIOS PhD students are welcome. The prequisites are BIOS 500, 510, and 511 or permission of instructor. Please link to the nonlinear regression course website for detailed information.Years taught
Spring 2012
BIOS 711: Statistical Inference IIOne of the most important courses in a (bio)statistics curriculum is statistical inference and this often gets taught at the MS and PhD level. After completing MS-level coursework, our PhD students learn fundamental concepts through one course (one semester) of probability (BIOS 710), one course in linear models (BIOS 707), and one course in statistical inference (BIOS 711). These courses are part of the core PhD curriculum and compulsory for all BIOS PhD students. I taught the statistical inference course from 2008-2011 using an upcoming book by Dennis Boos and Len Stefanski, Modern Statistical Inference. This was an excellent text for our students and I would encourage other professors to consider it for a similar course.Years taught
Spring 2008
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