Statistics 567: Survival Analysis
Spring 2014 Course Syllabus
Ramón V. León

Catalog Description: STAT 567 Survival Analysis (3) Introduction to survival analysis. Statistical analysis of time-to-event data with different types of censoring. Regression models including the Cox proportional hazards model. Time-to-failure, customer retention and other types of data depending on student interest. Recommended Background: Calculus and a prior graduate statistics course.

 

Instructor: Ramón V. León

 


 

Software: JMP 11. To install JMP 11 go to “JMP 11 Installer” tab download the Zip file there or directly here. Unzip it to a folder which by default will be named “JMP 11 Install.” To find the “setup” application dig down as follows:

 

JMP 11 Install>JMP_pro_11.0.0_windows>JMP_pro_11.0.0_windows>JMP>JMP_Pro>11_0>Windows

Textbook: This course does not use a textbook though the book Statistical Methods for Reliability Data by William Q. Meeker and Luis A. Escobar, Wiley, 1998 would be a great resource. Please do not buy it unless you can comfortably afford it since you do not really need it for the course. I will use, instead, web sources and the free JMP Reliability and Survival Methods manual that you can download as a PDF. You can also access this manual at this website. In my opinion, this is the most convenient way to access the manual because the website has many convenient hyperlinks to supporting material.   This manual is also available in the Help menu of JMP 11 which is also fully hyperlinked to supporting material.  

Notes Website: This course in supported by a OneNote website that you can access from Blackboard. Just click on the OneNote tab in the upper-left corner of Blackboard. All the class notes and other course material are available there. If you are signed in to the site, as explained below, you will be able to download files by right-clicking on them. (This may not work when using Chrome and if so just use Firefox or Internet Explorer.)

 

Windows Live Account: To be able to download files by right clicking on them from the course’s OneNote website you need to have a Windows Live account and be signed in. You automatically have a Windows Live account if you have an email address with one of these suffixes @hotmail.com, @outlook.com, or @live.com. If you sign in as you would normally do to check your email you will be also signing into your Windows Live account and thus be able to download files by right clicking on them. (Again, this may not work when using Chrome and if so just use Firefox or Internet Explorer.) If you do not have one of these email addresses (or what is the same thing Window Live account) you can register for one of these here. Warning: When one is at the OneNote website one can sign in using one’s UT ID and password, but for some reason signing in that way will not give you the ability to download files by right clicking one them. Bottom line: You need to open a Windows Live account directly from Microsoft.

Attendance: Students are strongly encouraged to “attend” the course as it is being streamed on Blackboard Collaborate and not via its recording so that you can interact with me.

Homework: Homework will be collected and graded. They should be submitted as Word files in the Assignment tab of Blackboard.

Exams: There will be one midterm exam and a final exam. They will both be take-home exams. We will discuss the format of these exams in class and make any adjustment resulting from that discussion.

Project: You are to find a data set for you to analyze involving censored data. You will submit a written proposal as an MS Word document in the Assignment tab of Blackboard. It should describe the data set and the questions that you plan to answer with it. You will not get an A for this proposal unless the data description is clear and complete and you make the source of the data available. You should use this form to do so. The proposal should be accompanied by a JMP file containing the data. For each column of your JMP file you will need to use the Notes feature of JMP found in the Column Properties drop-down menu to fully explain what the variable in the column is. It is not enough to simply provide the necessarily cryptic column name. Without having these detailed column notes you will also not get an A.

 

Upon my approval of this proposal you are to analyze the data and write a report with your analysis and conclusions. You should use this form to do so. This should be submitted with the JMP file project data in the Assignment tab of Blackboard. This file should have the columns notes required in the proposal and have your most important JMP analyses saved as scripts to the data table. (I will show you how to do this.) The report should be at most eight pages long and start with a summary of the steps you used in your analysis. You should include only a few selected graphs and tables. The final model that you used in the analysis should be clearly stated at the end of the report with a summary of the reasons why you selected it.

Student Opinion Surveys: These surveys will be posted on Blackboard. Completing all of these surveys is worth 5% of your grade.

Grade: Your final grade will be computed as:

The course grade will be assigned using the usual 90, 80, 70 ... scale.

 

Course Outline:

·        Life Distributions

·        Parametric Regression with One Explanatory Variable

·        Parametric Regression with Multiple Explanatory Variables

·        Cox’s Proportional Hazards Regression Model

·        Recurrence Analysis

·        Reliability Growth

·        Reliability Forecast

·        Analysis of Degradation Data

·        Reliability Block Diagrams