Stanford Social Innovation ReviewOpinion

The Urgent Need for Data Equity, Justice, and Sovereignty

Transforming civic data in the United States is essential to improve our collective health and well-being.
eLife

Determining fragility and robustness to missing data in binary outcome meta-analyses, illustrated with conflicting associations between vitamin D and cancer mortality

This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
The Lancet

Rohini Mathur: using health data to tackle health inequalities

One thing about South Asian populations is that we do have a very different presentation of diabetes, partly due to our genetics, partly due to migration pressures”, says Rohini Mathur, Professor and ...
pharmaphorum

BIO 2025: As pharma deploys AI across the value chain, data remains a challenge

(R to L) EY's Ricardo Vilanova, Lila Bioscience's Molly Gibson, Merck's Iya Khalil, Insitro's Mary Rozenman, and Gallop Oncology's Luba Greenwood at BIO 2025. When Google shook the foundations of the ...
BMJ Open Sport & Exercise Medicine

Methodological quality and reporting using time-to-event data in sports science and medicine: a scoping review

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...