Fall 2017 Course Syllabus:  Math 659

 

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, 2nd edition (2005).
 Applied Survival Analysis Using R, by Dirk F. Moore (2016).  The Statistical Analysis of Failure Time Data, by John D. Kalbfleisch and Ross L. Prentice, 2nd edition (2002).

Prerequisites:

Math 665 or equivalent with Departmental approval.

 

 

Course Outline

Date

Lecture

Sections

Topic

Assignment

Week 1

9/5

1

 

 

Sections 2.1-2.5

 

Introduction to Survival Analysis

Basic Quantities of Survival Time

Parametric Models for Survival Data

 

Week 2

9/12

2

Section 2.6

Sections 3.1-3.5

Regression Models for Survival Data

Censoring and Truncation

Homework 1

Week 3

9/19

3

Sections 4.1-4.3

 

Nonparametric Estimation Methods (I)

 

Week 4

9/26

4

Sections 4.4, 4.6, 5.2

Nonparametric Estimation Methods (II)

 

Homework 2

Week 5

10/3

5

Sections 7.1-7.2

Hypothesis Testing (I)

 

Week 6

10/10

6

 Sections 7.3-7.4

Hypothesis Testing (II)

Homework 3

Week 7

10/17

7

Sections 7.5, 8.1-8.3

Hypothesis Testing (III)

Semiparametric Proportional hazards regression models and methods (I)

 

Week 8

10/24

 

 

MIDTERM EXAM:

Tuesday ~ October 24, 2017

 

Week 9

10/31

8

Sections 8.4 -8.5

Semiparametric Proportional hazards regression models and methods (II)

Survival Data Analysis Project

Homework 4

Week 10

11/7

9

Sections 8.7, 9.1

Semiparametric Proportional hazards regression models and methods (III)

Refinements of the Semiparametric Proportional Hazards Model (I)

 

Week 11

11/14

10

Sections 9.2-9.4

Refinements of the Semiparametric Proportional  Hazards Model (II)

 Homework 5

Week 12

11/21

11

 

        NO CLASS ~ Follow a Thursday Schedule

 

Week 13

11/28

12

Sections 12.1-12.3

    Inference on Parametric Regression Models     

 Homework 6

Week 14

12/5

13

Sections 11.1-11.2, 11.4

Sections 10.1-10.2

Regression Diagnostics

 

Introduction to Additive Hazard Regression Models      

 

Week 15

12/12

14

 

Students’ Project Presentation

 

Week 16

12/19

 

 

FINAL EXAM:

Tuesday ~ December 19, 2017

 

 

 

IMPORTANT DATES

FIRST DAY OF SEMESTER

September 5, 2017

LAST DAY TO WITHDRAW

November 6, 2017

LAST DAY OF CLASSES

December 13, 2017

FINAL EXAM PERIOD

December 15 – 21, 2017

 

Grading Policy

 

Assignment Weighting

 

Tentative Grading Scale

Homework

25 %

 

A

90 -- 100

Project

20 %

 

B+

85 -- 90

Midterm Exam

25 %

 

B

80 -- 85

Final Exam

30 %

 

C+

75 -- 80

 

 

 

C

70 -- 75

 

 

 

F

0 -- 70

 

 

 

Important Departmental and University Policies

 

Prepared by Prof. Wenge Guo, August 28, 2017