MATH 741 (1SY) - Survival Analysis

Survival Analysis

Durham   Engineering&Physical Sciences :: Mathematics&Statistics
Credits: 4.0
Term: Spring 2020 - Full Term (01/21/2020 - 05/04/2020)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56328
Explorations of models and data-analytic methods used in medical, biological, and reliability studies. Event-time data, censored data, reliability models and methods, Kaplan-Meier estimator, proportional hazards, Poisson models, loglinear models. The use of statistical software, such as SAS, JMP, or R, is fully integrated into the course. Prereq: MATH 739. (Offered in alternate years in the spring semester.)
Section Comments: This course is a synchronous online course. In-class exams may be scheduled; for remote access of these, contact the instructor.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman
Attributes: Scheduled meeting time, Online with some campus visits, EUNH
Instructors: STAFF

Times & Locations

Start Date End Date Days Time Location
1/21/2020 5/4/2020 MWF 9:40am - 11:00am KING S320
1/21/2020 5/4/2020 Hours Arranged ONLINE

Booklist

Survival Analysis: Techniques for Censored and Truncated Data, 2nd edition by J.P. Klein and M.L. Moeschberger, 2003, Springer. The book is widely available and can be purchased at the Durham Book Exchange (http://www.durhambook.com/). Supplemental Guide: Survival Analysis using R by David Diez, 2013, OpenIntro.org. The guide is freely available online at http://openintro.org/stat/surv.php. Feel free to print your own copy. Optional Reference books: 1. Survival Analysis Using S by M. Tableman and J. Kim. 2004, Chapman & Hall/CRC. 2. Applied Survival Analysis: Regression Modeling of Time to Event Data by D.W. Hosmer, S. Lemeshow, and S. May. 2008, New York: Wiley. 3. The statistical analysis of failure time data by J.D. Kalbeisch and R. L. Prentice. 2002, John Wiley & Sons, Inc.