In clinical trials, researchers often need to model the count of adverse events or the number of treatment cycles a patient undergoes. These counts can vary widely among patients due to biological variability and differing treatment responses. The negative binomial distribution allows researchers to model these counts more accurately, accounting for the extra variability and improving the reliability of trial results.
