ANALYZING TIME-TO-EVENT DATA: A COMPARISON BETWEEN RELIABILITY AND SURVIVAL METHODS
IEEE Boston/Providence/New Hampshire Reliability Chapter
Please visit https://r1.ieee.org/boston-rl/
Chapter Reliability analysis and survival analysis both deal with the time-to-event data, which is often censored and highly skewed. Medical researchers try to predict the survival probabilities, survival times and other important characteristics. Therefore, it is not surprising to see many of the reliability analysis tools being used in clinical trials and epidemic research. After all, survival is the complementary event to failure.
In this talk I will focus on the parallels and distinctions between the two statistical methods through some real-life examples. I will also demonstrate modern predictive modeling tools that are useful to reliability engineers.
Location: This Webinar is to be delivered virtually.
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Registration Starts 21 January 2024 12:00 AM Ends 06 February 2024 05:30 PM
All times are (UTC-05:00) Eastern Time (US & Canada)
No Admission Charge
Speaker: Jian Cao of JMP
Topic: Analyzing Time-to-Event Data: A Comparison Between Reliability and Survival Methods
Agenda
11:00 AM: Technical Presentation
11:45 AM: Questions and Answers
12:00 PM: Adjournment
The meeting is open to all. You do not need to belong to the IEEE to attend this event; however, we welcome your consideration of IEEE membership as a career enhancing technical affiliation. There is no cost to register or attend, but registration is required.