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Survival Analysis Using R - Online Course

A 4-Day Livestream Seminar Taught by

Paul Allison
Course Dates: Ask about upcoming dates
Schedule: All sessions are held live via Zoom. All times are ET (New York time).
10:30am-12:30pm ET (convert to your local time)
1:30pm-3:00pm ET
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For event-time data, ordinary regression analysis won’t do the job.

If you’ve ever used regression analysis on longitudinal event data, you’ve probably come up against two challenging problems:

  1. Censoring: Nearly every sample contains some cases that do not experience an event. If the dependent variable is the time of the event, what do you do with these “censored” cases?
  2. Time-dependent covariates: Many explanatory variables (like income or blood pressure) change in value over time. How do you put such variables in a regression analysis?

Makeshift solutions to these questions can lead to severe biases. Survival methods are explicitly designed to deal with censoring and time-dependent covariates in a statistically correct way. Originally developed by biostatisticians, these methods have become popular in sociology, demography, psychology, economics, political science, marketing, and many other fields.

This seminar covers both the theory and practice of statistical methods for event-time data. Participants receive a thorough introduction to such topics as censoring, Kaplan-Meier estimation, Cox regression, discrete-time methods, competing risks, and repeated events.

Starting August 23, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously.

Closed captioning is available for all live and recorded sessions.

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"...accessible and insightful to both novices and senior researchers in survival analysis."

“Dr. Allison is a wonderful instructor, who has the natural talent to break down complicated concepts and procedures into manageable components. Thanks to that, the course is accessible and insightful to both novices and senior researchers in survival analysis.”

Yanchen Zhang

University of Iowa

"I recommend this course to anyone who is interested in survival analysis..."

“The course is excellent. I learned a lot from it and really recommend this course to anyone who is interested in survival analysis and who are working in medical research.”

Noora Alshanfari

Sultan Qaboos University

"This course stood out in terms of the depth of coverage of certain topics which are important but often omitted in introductory courses..."

“For me, this course stood out in terms of the depth of coverage of certain topics which are important but often omitted in introductory courses on survival analysis, namely competing risks, discrete time analysis, checking and managing the violation of proportional hazards assumption. Dr. Allison is very knowledgeable and willing to share his insights – I found the exercises and discussion very helpful in consolidating learning.”

 

Wee Shiong Lim

Tan Tock Seng Hospital

"The examples and exercises given made me feel more confident to apply survival analysis in my future research."

“The course is very informative and the concept was explained in a very clear and simple way. The examples and exercises given made me feel more confident to apply survival analysis in my future research. Thank you Dr. Allison for such a great course!”

Reem Mulla

University of Waterloo