Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Survival analysis in healthcare applications
- Reliability modeling of complex systems
- Statistical methods for survival data
- Bayesian approaches to survival analysis
- Censoring techniques in survival studies
- Estimation of survival functions
- Competing risks in survival analysis
- Longitudinal data in reliability studies
- Statistical software for survival models
- Machine learning in survival analysis
- Predictive modeling for reliability assessment
- Survival analysis in clinical trials
- Nonparametric methods for survival data
- Survival models in engineering contexts
- Statistical inference in reliability analysis
- Applications of survival models in finance
- Time-to-event data analysis techniques
- Multivariate survival analysis methods
- Statistical challenges in survival research
- Future directions in survival modeling
All papers must be original and not previously published or submitted elsewhere.
