Share Your Expertise
Survival analysis and time-to-event modeling drive critical decisions in healthcare, reliability engineering, and business analytics. Ready Tensor provides a platform for practitioners to showcase their innovations, from traditional statistical approaches to modern machine learning solutions. Share your work to inspire others and gain recognition for your contributions to this vital field.
Areas of Interest
Core Approaches:
- Cox proportional hazards models
- Accelerated failure time models
- Parametric survival models
- Time-dependent covariate analysis
- Joint modeling approaches
Advanced Techniques:
- Machine learning for survival
- Dynamic prediction models
- Bayesian survival analysis
Application Domains:
- Clinical trials & medical research
- Customer churn prediction
- Equipment lifetime analysis
We welcome all innovative approaches in survival analysis, from theoretical advances to practical implementations solving real-world challenges.
Featured Publications Program
Each month, we select outstanding survival analysis publications to feature on our platform. Featured publications receive:
- Prominent visibility on Ready Tensor's homepage and survival analysis category
- Social media promotion to our community of AI professionals
- Digital certificate of recognition
- Cash prize of $200 for exceptional publications
Publications are evaluated based on technical innovation, implementation quality, and practical impact.
All public survival analysis publications are automatically considered for this recognition program.
Note: Ready Tensor employees and contractors may contribute publications but are not eligible for cash prizes.
Types of Publications
From classical statistical methods to modern machine learning approaches, we welcome all types of survival analysis publications. Whether you're working on risk modeling, competing risks, or dynamic prediction, share your work to help advance the field of time-to-event analysis.
Research Contributions:
- Original research in survival modeling methods
- Surveys of time-to-event analysis techniques
- Comparative studies of survival models
- Novel survival datasets and benchmarks
- Reproducibility studies of published methods
Implementation & Applications:
- Clinical applications of survival analysis
- Industrial reliability studies
- Customer lifetime value analysis
- Survival prediction pipelines
Open Source & Independent Projects:
- Open-source survival analysis libraries
- Tools for censored data handling
- Risk modeling implementations
- Competing risks experiments
- Custom survival algorithms
Educational & Academic:
- Academic research implementations
- Survival analysis tutorials
- Course projects across different tasks
- Practical modeling guides
- Risk assessment workshops
How to Publish
- Create a free Ready Tensor account if you don't already have one.
- To initiate your publication, click 'Start Publication' from the top menu.
- Follow the intuitive workflow. You can copy/paste content in markdown style, and even upload content from your Jupyter Notebooks. It's fast and easy.
- Tag your publication with relevant keywords like 'survival-analysis', 'time-to-event', or 'risk-assessment' to help others discover your work.
- Run automated publication assessment to get instant feedback on your documentation quality.
- Preview your work and click 'Publish' to share it with the community.
- Note you can edit your documentation even after publication. You do not need to unpublish for editing. All changes are applied automatically.
- To maximize visibility to your publication, use the social media links to share on platforms like LinkedIn, X, and more.
