micheledpierri.com: statistics, data analysis and coding
Nexus of Statistics, Data analysis, Coding, Art and Medicine
Effect Size: What It Is and Why It Matters More Than Statistical Significance A result can be statistically significant — yet practically meaningless. Learn how effect size reveals the real-world impact of research findings. Introduction: The Hidden Problem with p-values You’ve probably seen headlines like: “New Study Shows Coffee Improves Memory!” But what if the…
Introduction The 2025 ESC/EACTS Guidelines on Valvular Heart Disease represent a pivotal shift in the balance between surgical and percutaneous interventions. While surgical aortic valve replacement (SAVR) remains the gold standard for younger, low-risk patients, the new guidelines expand the role of transcatheter aortic valve implantation (TAVI) and transcatheter edge-to-edge repair (TEER, MitraClip). This evolution…
Introduction: Understanding Calibration Challenges Consider a thermometer that perfectly identifies when one temperature is higher or lower than another, but consistently reads 5 degrees too high. This thermometer has good discrimination (it correctly ranks temperatures), but poor calibration (its absolute values are inaccurate). The same problem occurs with clinical risk models such as EuroSCORE: they…
A technical comparison between TCP and UDP protocols implemented in Python: examining performance metrics, security considerations, and practical applications within healthcare systems using FHIR standards for effective data exchange between medical platforms. Introduction: The Significance of TCP vs UDP When browsing websites, streaming videos, or making video calls, our data travels across networks using protocols…
Introduction Haruki Murakami is one of the most significant contemporary Japanese novelists. While he never directly addresses medicine in his works, health-related themes frequently appear as metaphors. In his writing, the body and its lived experiences are consistently connected to trauma, memory, and the unconscious. These connections extend into fantastic, paranormal, and cosmological dimensions, transforming…
The Death of the Grandmother: A Moment of Truth, Fragility, and Revelation Introduction In the third volume of “À la recherche du temps perdu”, Marcel Proust portrays the gradual illness and death of the narrator’s grandmother. This episode stands as one of the emotional, philosophical, and narrative pinnacles of the entire work. Through his meticulous…
Introduction: Why Build a Medical Database with Docker? Creating a robust medical database system requires careful consideration of security, scalability, and maintainability. Furthermore, Docker containerization offers an ideal solution for healthcare applications by providing isolated environments that ensure consistent deployment across different systems. In this comprehensive tutorial, we’ll explore how to create a medical database…
Introduction UNet is a convolutional neural network (CNN) introduced by Olaf Ronneberger in 2015. These specialized neural networks learn to recognize objects in images. When properly trained, they can analyze medical images, detect specific features (such as neoplasms in CT scans), and classify different types of images (such as distinguishing between pneumonia and neoplasms). In…
Definition Sensitivity analysis is a collection of techniques that determine how input parameters affect model results. Specifically, it measures how much variation in the results stems from different types of uncertainty. For a model: examines how Y changes when each X is modified. Sensitivity analysis can be applied across several key areas: predictive models, simulation,…
Why do we need random number generation in statistics and data science? Data scientists and statisticians rely on random number generation for several important purposes. They can be used to create data samples, which serves as a foundation for advanced statistical techniques. This includes Bootstrapping methods that involve resampling from existing data to create new…
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