In Endurance Sports, Nutrition Is Not Advice, It’s an Intervention From Endurance Sport to Precision Nutrition Not many people who know me as a Real World Data professional in pharma are aware that I also run a side activity in precision nutrition for endurance athletes. This work began naturally, driven by my personal… Continue reading Using Real-World Data to Drive Precision Nutrition for Endurance Athletes
Tag: Methodology
Conducting Real-World Evidence (RWE) Studies in Obesity: Opportunities and Challenges
By Patrick Wulf Hanson (Reviewed, adjusted and approved by Dr. Frederik Persson, Head of Clinic, Steno Diabetes Center, Copenhagen, Denmark) 1. Introduction Globally, obesity has emerged as a critical public health challenge, contributing to substantial morbidity and mortality, and it is a leading risk factor for diseases such as type 2 diabetes, cardiometabolic… Continue reading Conducting Real-World Evidence (RWE) Studies in Obesity: Opportunities and Challenges
How to Learn RWD Research: Insights Beyond the Textbooks
One question I’ve been repeatedly asked is: how do you truly learn to conduct robust and meaningful real-world data (RWD) studies? The answer, in my experience, goes far beyond formal training or academic courses. Unlike traditional clinical trials, which follow well-established and regulated frameworks, real-world research is often shaped by context, data availability, and practical… Continue reading How to Learn RWD Research: Insights Beyond the Textbooks
When the Code Isn’t Enough: Building Diagnostic Algorithms and Proxies in RWD Research
In real-world evidence (RWE) research, misclassification is a persistent methodological challenge, particularly when diagnostic information is incomplete, coded inconsistently, ambiguously recorded or entirely absent. When working with data from secondary data sources such as administrative claims or electronic health records (EHRs), not every condition of interest is captured cleanly (or at all) through a well-defined… Continue reading When the Code Isn’t Enough: Building Diagnostic Algorithms and Proxies in RWD Research
Can Real-World Data Redefine Clinical Trial Protocol Design?
A System Built Backwards? Clinical trials are the gold standard for evaluating new treatments, but they are often built on idealized assumptions that poorly reflect the complexity of real-world clinical care. Protocols are crafted around rigid eligibility criteria, theoretical endpoints, and often over-optimized designs that filter out the majority of patients seen in actual clinical… Continue reading Can Real-World Data Redefine Clinical Trial Protocol Design?