Hybrid Conferencee

International Conference on Survival Models and Reliability Analysis (ICSMYRA - 26)

26th - 27th September 2026 | Manchester, UK
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Conference Brochure
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Manchester. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Manchester event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Manchester conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Manchester, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Manchester."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSMYRA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Probability Theory,Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Survival analysis in healthcare applications
02
Reliability modeling of complex systems
03
Statistical methods for survival data
04
Bayesian approaches to survival analysis
05
Censoring techniques in survival studies
06
Estimation of survival functions
07
Competing risks in survival analysis
08
Longitudinal data in reliability studies
09
Statistical software for survival models
10
Machine learning in survival analysis
11
Predictive modeling for reliability assessment
12
Survival analysis in clinical trials
13
Nonparametric methods for survival data
14
Survival models in engineering contexts
15
Statistical inference in reliability analysis
16
Applications of survival models in finance
17
Time-to-event data analysis techniques
18
Multivariate survival analysis methods
19
Statistical challenges in survival research
20
Future directions in survival modeling