Welcome to EntityRisk EnSights, the new blog-style section of our website highlighting the ideas, methods, and software tools developed by our team members. From example-driven demonstrations of our core software functionality to highlights of our client-related work, you can expect regularly published posts featuring a wide range of topics related to estimation and optimization of the clinical, commercial, and societal value of medical innovations. As our corpus of posts grows over time, you’ll find intuitive and searchable tags that will filter posts by various content categories.

Potential topics include: 

1. 1. Assessment of novel value elements for cost-effectiveness modeling, including how their inclusion impacts results and conclusions for client models 

2. 2. Model validation and error detection techniques using Python  

3. 3. Sample analyses illustrating how our PROVEN™ platform automates complex modeling tasks 

4. 4. Demonstrations of model parameter sensitivity and importance ranking methodologies using techniques from modern interpretable machine learning implemented within our core software packages 

5. 5. Examples of how standardized workflows are essential for error-free and reproducible analyses 

6. 6. Use of Bayesian methods to improve predictions of health outcomes in cases where there are multiple data sources, small sample sizes, and/or heterogeneous treatment responses 

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Sincerely, 

The EntityRisk Team