As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

Bayesian statistical models could help address recruitment challenges, but experts agree that sponsors must first understand – and be prepared - for the additional work required to implement them ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

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Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

Cambridge, MA – Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

Healthcare organizations have access to more data than ever before. Whereas in the past they were mostly limited to data from labs and electronic data capture (EDC) systems, they now have vast swaths ...

During the Civil War, both sides used firing squads to kill deserting soldiers. Today, people on death row can choose to die that way in some states. By Jacey Fortin On Friday, for the second time in ...