NJIT Academic Integrity CODE: All Students should be aware that the Department of Mathematical Sciences takes the University Code on Academic Integrity at NJIT very seriously and enforces it strictly. This means that there must not be any forms of plagiarism, i.e., copying of homework, class projects, or lab assignments, or any form of cheating in quizzes and exams. Under the University Code on Academic Integrity, students are obligated to report any such activities to the Instructor.
Math 659: Survival Analysis
Number of Credits: 3
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
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)
Instructor: (for specific course-related information, follow the link below)
Math 659-101 |
Grading Policy: The final grade in this course will be determined as follows:
▪ Homework: |
25% |
▪ Project: |
20% |
▪ Midterm Exam: |
25% |
▪ Final Exam: |
30% |
Your final letter grade will be based on
the following tentative curve:
A |
90-100 |
C |
70-75 |
B+ |
85-90 |
F |
0-70 |
B |
80-85 |
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C+ |
75-80 |
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Drop Date: Please note that the University Drop Date November 6, 2012 deadline will be strictly enforced.
Homework: Homework will be assigned in class.
Attendance & Participation: Students must attend all classes. Absences from class will inhibit your ability to fully participate in class discussions and problem solving sessions and, therefore, affect your grade. Tardiness to class is very disruptive to the instructor and students and will not be tolerated.
Makeup Exam Policy: There will be No make-up EXAMS during the semester. In the event the Final Exam is not taken, under rare circumstances where the student has a legitimate reason for missing the final exam, a makeup exam will be administered by the math department. In any case the student must notify the Math Department Office and the Instructor that the exam will be missed and present written verifiable proof of the reason for missing the exam, e.g., a doctors note, police report, court notice, etc., clearly stating the date AND time of the mitigating problem.
Further Assistance: For further questions, students should contact their Instructor. All Instructors have regular office hours during the week. These office hours are listed at the link above by clicking on the Instructor’s name. Teaching Assistants are also available in the math learning center.
Cellular Phones: All cellular phones and beepers must be switched off during all class times.
MATH DEPARTMENT CLASS POLICIES LINK
All DMS students must familiarize themselves with and adhere to the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. DMS takes these policies very seriously and enforces them strictly. For DMS Course Policies, please click here.
M |
Labor Day ~ No classes |
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T |
Last Day to Withdraw from this course |
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T |
Classes follow a Thursday Schedule |
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W |
Classes follow a Friday Schedule |
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R-Su |
Thanksgiving Recess |
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R |
Reading Day |
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F- R |
Final Exams |
Course Outline:
Course
Outline |
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Date |
Lecture |
Sections |
Topic |
Assignment |
Week 1 9/4 |
1 |
Sections 2.1 Lecture Note |
Introduction to Survival Analysis Introduction to R programming
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Week 2 9/11 |
2 |
Sections 2.2-2.6 |
Basic Quantities of Survival Time Basic Models for Survival Data |
Homework 1 |
Week 3 9/18 |
3 |
Sections 3.1-3.5 |
Censoring and Truncation |
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Week 4 9/25 |
4 |
Sections 4.1-4.3 |
Nonparametric Estimation Methods (I)
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Homework 2 |
Week 5 10/2 |
5 |
Sections 4.4, 4.6, 5.2 |
Nonparametric
Estimation Methods (II) |
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Week 6 10/9 |
6 |
Sections 7.1-7.2 |
Hypothesis Testing (I) |
Homework 3 |
Week 7 10/16 |
7 |
Sections 7.3 - 7.4 |
Hypothesis Testing (II) |
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Week 8 10/23 |
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MIDTERM EXAM: Tuesday ~ October 23, 2011 |
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Week 9 10/30 |
8 |
Sections 7.5, 8.1-8.3 |
Hypothesis Testing (III) Semiparametric Proportional hazards regression models and methods (I)
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Survival Data Analysis Project Homework 4 |
Week 10 11/6 |
9 |
Sections 8.4 -8.5 |
Semiparametric
Proportional hazards regression models and methods (II) |
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Week 11 11/13 |
10 |
Sections 8.7, 9.1 |
Semiparametric Proportional hazards regression models and methods (III) Refinements of the Semiparametric Proportional Hazards Model (I) |
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Week 12 11/20 |
11 |
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NO CLASS ~ Follow a Thursday Schedule |
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Week 13 11/27 |
12 |
Sections 9.2-9.4 |
Refinements of the Semiparametric Proportional Hazards Model (II) |
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Week 14 12/4 |
13 |
Sections 11.1-11.4 |
Regression Diagnostics |
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Week 15 12/11 |
14 |
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Students’ Project Presentation |
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Week 16 12/18 |
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FINAL EXAM: Tuesday ~ December 18, 2012 |
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Prepared By: Prof. Wenge Guo
Last revised: May 2, 2012