Fall 2013 Course Syllabus: MATH 659.101
Course Title: Survival Analysis Textbook: Survival Analysis: Techniques for Censored and Truncated Data, by John P. Klein and Melvin L. Moeschberger; Publisher: Springer, 2nd edition (2003); ISBN- 13: 978-0387953991. Reference Books: Survival Analysis: A Self-Learning Text, by David G. Kleinbaum and Michael Kline (2005, 2nd Ed.). Survival Analysis Using S: Analysis of Time-to-Event Data, by Mara Tableman and Jong Sung Kim (2003). Survival Analysis Using SAS: A Practical Guide, by Paul D Allison (2010). Introductory Statistics with R, by P. Dalgaard(Springer, 2nd Ed., 2008) Prerequisites: Math 665 or equivalent with Departmental approval.
Course Description: Introduction to statistical methods for modeling time-to- event data in the presence of censoring and truncation, with emphasis on applications to the health sciences. Topics include survival and hazard functions, censoring and truncation, parametric and nonparametric models for survival data, competing-risks, regression models including Cox proportional hazards model and time-dependent covariates, one and two sample tests, and use of appropriate statistical software for computations. Effective From: Fall 2007
Tentative Course Outline Date Lectur Sections Topic Assignment e Week 1 Sections 2.1-2.2 Introduction to Survival Analysis 1 Lecture Notes Introduction to Statistical Software Packages for Survival Analysis Week 2 Sections 2.3-2.6 Basic Quantities of Survival Time Homework 1 2 Basic Models for Survival Data
Week 3 Sections 3.1-3.5 Censoring and Truncation 3
Week 4 Sections 4.1-4.3 Nonparametric Estimation Methods (I) Homework 2 4
Week 5 Sections 4.4, Nonparametric Estimation Methods (II) 5 4.6, 5.2
Week 6 Sections 7.1-7.2 Hypothesis Testing (I) Homework 3 6
Week 7 Sections 7.3 - Hypothesis Testing (II) 7 7.4
Week MIDTERM EXAM: 8 Monday ~ October 28, 2013
Week 8 Sections 7.5, Hypothesis Testing (III) Survival Data Analysis 9 8.1-8.3 Semiparametric Proportional hazards regression Project models and methods (I) Homework 4
Week 9 Sections 8.4 -8.5 Semiparametric Proportional hazards regression 10 models and methods (II) Week 10 Sections 8.7, 9.1 Semiparametric Proportional hazards regression Homework 5 11 models and methods (III) Refinements of the Semiparametric Proportional Hazards Model (I)
Week 11 Sections 9.2-9.4 Refinements of the Semiparametric Proportional 12 Hazards Model (II)
Week 12 Sections 11.1- Regression Diagnostics 13 11.4
Week 13 Students’ Project Presentations 14
Week FINAL EXAM: 15 Monday ~ December 16, 2013
IMPORTANT DATES FIRST DAY OF SEMESTER September 3, 2013 LAST DAY TO WITHDRAW November 4, 2013 LAST DAY OF CLASSES December 11, 2013 FINAL EXAM PERIOD December 13 – 19, 2013
Grading Policy
Assignment Weighting Tentative Grading Scale Homework 25 % A 90 -- 100 Project 20 % B+ 84 -- 89 Midterm Exam 25 % B 78 -- 83 Final Exam 30 % C+ 72 -- 77 C 60-- 71 F 0 -- 59
Instructor: Prof. Seonja Kim Contact Information: 211F Cullimore Hall 973-596-5374 [email protected] Office Hours: Monday 12:30 – 2 pm Thursday 6 – 7:30 pm Plus by appointment Or follow the link http://math.njit.edu/students/officehours.php
NOTE : This syllabus is subject to (reasonable) changes at the discretion of the instructor and with advance notice to you.
Important Departmental and University Policies
Academic Integrity Code http://www.njit.edu/academics/pdf/academic-integrity-code.pdf Prerequisites Requirements are Enforced Attendance is Required in Lower-Division Courses Exam Policies (No Make Up Exams and More) Cell Phone and Pager Use Prohibited in Class Complete DMS Course Policies (math.njit.edu/students/undergraduate/policies_math)