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Advanced Survival Analysis

Instructor(s):

Dates:

November 06, 2015 to December 04, 2015 November 04, 2016 to December 02, 2016

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Advanced Survival Analysis

taught by Matt Strickland

Aim of Course:

This online course, "Advanced Survival Analysis" 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 may be taken individually (one-off) or as part of a certificate program.

Course Program:

WEEK 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

WEEK 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

WEEK 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

WEEK 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.

In addition to assigned readings, this course also has an end of course data modeling project, and supplemental readings available online.

Advanced Survival Analysis

Instructor(s):

Dates:
November 06, 2015 to December 04, 2015 November 04, 2016 to December 02, 2016

Course Fee: $629

Do you meet course prerequisites? What about book & software? (Click here to learn more)

Tuition Savings:  When you register online for 3 or more courses, $200 is automatically deducted from the total tuition. (This offer cannot be combined and is only applicable to courses of 3 weeks or longer.)

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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.

Advanced Survival Analysis

taught by Matt Strickland

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.

Level:

intermediate

Prerequisite:
These are listed for your benefit so you can determine for yourself, whether you have the needed background, whether from taking the listed courses, or by other experience.

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.

Organization of the Course:

This course takes place online 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.

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.

Time Requirement: about 15 hours per week, at times of  your choosing.


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.  The text may be purchased here

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, and Stata. For more information on the above mentioned statistical software, please click here.


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