Advanced Survival Analysis

Prof. Mathew 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.

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.

For those enrolled in a Program of Advanced Statistical Studies, this is a required or elective course in the following Programs:

• Biostatistics (epidemiology) - elective
• Biostatistics (controlled trials) - elective
• Engineering Statistics - elective

Course Program:

The course is structured as follows

The Instructor:

Prof. Mathew Strickland is Assistant Professor in the Department of Environmental and Occupational Health at Emory University. He has taught a variety of in-person and distance education courses on Epidemiologic Modeling, Fundamentals of Epidemiology, and Maternal/Child Health Epidemiology. He and David Kleinbaum have been teaching the survival analysis course at statistics.com since 2006. His research interests are air pollution epidemiology, birth defects epidemiology, and epidemiology methods.

Organization of the Course:

The course takes place over the internet, at statistics.com. 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 is scheduled to take place over 4 weeks, and 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 and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Certificates and Grades:

You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Program in Advanced Statistical Studies that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.

Credit:

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.

Dates:

May. 21 - Jun. 18, 2010
Nov. 12 - Dec. 10, 2010
Click here to be notified of future course offerings.

Participants gain access to the online materials on the first day of the course, and typically spend about 15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.

Level:

intermediate

Prerequisite:

The equivalent of Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners).

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.

For additional information about course prerequisites, click here.

Course Text:

The required text is Survival Analysis- A Self Learning Text, 2nd edition by David G Kleinbaum and Mitchel Klein, Springer Publishers, 2003, which can be ordered directly from the publisher here. Springer offers a 15% 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.)

Software:

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

Registration:

Register Online - $499
Register Online (academic) - $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.

Note: 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.

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