ANALYZING TIME-TO-EVENT DATA: A COMPARISON BETWEEN RELIABILITY AND SURVIVAL METHODS

When:
February 7, 2024 @ 11:00 am – 12:00 pm America/New York Timezone
2024-02-07T11:00:00-05:00
2024-02-07T12:00:00-05:00
Where:
Virtual

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.

At registration, you must provide a valid e-mail address to receive the Webinar Session link approximately 15 hours before the event. The link will only be sent to the e-mail address entered with your registration. Please double-check for spelling errors. If you haven’t received the e-mail as scheduled, please check your spam folder and alternate e-mail accounts before contacting the host.

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.

Registration: