Real-world data (RWD) is increasingly used for causal inference in healthcare research, but generating credible, decision-ready insights requires more than access to data. It demands intentional ...

Good experiments start with good planning. The analysis of genetic and molecular information involves increasingly sophisticated tools and methodologies, many of which are advancing at a fast pace.

Observational study designs like cohort, case-control, and cross-sectional are the backbone of epidemiology, but each comes with unique strengths, limitations, and bias risks. Understanding these ...

Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk ...

The US Food and Drug Administration (FDA) recently highlighted three case studies showing how sponsors can incorporate innovative study designs in their clinical trials using the agency’s Complex ...

As biomarker studies employ increasingly complex and expensive genomics and other correlative methods, it is increasingly important to rigorously design these studies and analyze the downstream ...

Clinical trials are well-controlled and designed experiments that aim to prove that an Investigational Medicinal Product (IMP) is effective. Clinical trial data is submitted to the national health ...

Noninferiority clinical trials have become a major tool for the evaluation of drugs, devices, biologics, and other medical treatments. Treatment with placebo or with a no-treatment control in a study ...