Pooled analysis refers to the process of combining data from multiple studies or clinical trials in order to generate more precise and reliable estimates of treatment effects.

In the healthcare industry, pooled analysis is an essential technique used to evaluate the safety and efficacy of medical treatments. It involves collecting data from individual trials and analyzing them together using statistical methods.

By pooling data from multiple studies, researchers can increase their sample size, which in turn increases the power of their analysis and reduces the risk of false-positive or false-negative results. Pooled analysis is also useful in detecting smaller, but clinically significant treatment effects that may go undetected in smaller studies.

Pooled analysis is used in drug development to evaluate the safety and efficacy of new drugs. It is also used in clinical practice to inform decision-making by healthcare professionals and patients. For example, if a pooled analysis shows that a treatment has a significant effect on a specific health outcome, it may be recommended as a preferred treatment option.

Overall, pooled analysis is an important tool in the healthcare industry for improving the accuracy and reliability of treatment evaluations.