Advanced Survival Analysis

taught by Matt Strickland

Brief Description:

This course focuses on the extension of the Cox proportional hazards model to (a) recurrent event survival analysis and (b) competing risks survival analysis.

Instructor(s):
Level: intermediate

Who Should Take This Course:

Investigators designing, conducting or analyzing medical studies or clinical trials. Researchers in any field (including engineering) working with data on how long things last.

Dates:
May 18, 2012 to June 15, 2012November 09, 2012 to December 07, 2012
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Multiple course registrations may be entitled to tuition discounts; read more.

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Advanced Survival Analysis

taught by Matt Strickland

Aim of Course:

This course builds upon the statistical methods covered in the Survival Analysis course at statistics.com. Discussion will focus on the extension of the Cox proportional hazards model to (a) recurrent event survival analysis and (b) competing risks survival analysis. The course will cover parametric survival models and frailty models and will conclude with discussion on the relative merits of parametric vs. semi-parametric techniques for modeling time-to-event data.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

• Biostatistics - Controlled Trials

• Biostatistics - Epidemiology

• Engineering Statistics

Prerequisite(s):

Participants should also be familiar with the material covered in statistics.com's Biostatistics and Survival Analysis courses, as well as the issues involved in designing statistical studies (e.g., design principles, confounding, and effect modification). Experience with computer procedures for modifying datasets and running regression models is required.

Course Program:

SESSION 1: Recurrent Event Survival Analysis

• The counting process approach for analyzing time-to-event data
• Survival curves for recurrent events
• Robust variance estimation
• Extension of the Cox proportional hazards model to accommodate recurrent events

SESSION 2: Competing Risks Survival Analysis

• Options for modeling competing risks
• Discussion of the independence assumption
• Survival curves for competing risks
• Implementation of competing risks data in Cox proportional hazards models using the Lunn-McNeil approach

SESSION 3: Parametric Survival Analysis

• Common distributions for time-to-event data (exponential, Weibull, log-logistic)
• The accelerated failure time model
• Parametric models for right-, left-, and interval-censored data

SESSION 4: Frailty (random intercept) Survival Analysis

• Purpose and assumptions of frailty models
• Incorporating frailties in parametric and semi-parametric survival analyses
• Discussion of the merits of parametric vs. semi-parametric survival models

HOMEWORK:

Homework in this course consists of short answer questions to test concepts, guided data analysis problems using software and guided data modeling problems using software.

Organization of the Course:

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The required text is Survival Analysis- A Self Learning Text, 3rd edition by David G Kleinbaum and Mitchel Klein, which can be ordered directly from the publisher here. Springer offers a generous discount on this book after providing the code AECT15 (this code is case sensitive) in the Promotion Code field when prompted during checkout time if you are from North or South America. The same code will work for the rest of the world if you order from the North American site, but may result in longer ship time and higher ship cost (alternatively, you can buy from local site with no discount.)

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

The course will require participants to use a sophisticated statistical package (e.g., SAS, STATA, R, or S+) to analyze survival analysis data. There will be illustrations and model answers in SAS, R, Stata and SPSS. For more information on the above mentioned statistical software, please click here.

Register Now

Yes, I want to register for:

Advanced Survival Analysis

taught by Matt Strickland

Instructor(s):
Dates:
May 18, 2012 to June 15, 2012November 09, 2012 to December 07, 2012
Course Fee: $499
Academic Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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