By Guy Spriggs
Because of incomplete or partial data, it can be hard to calculate accurate approximations important to scientific work such as medical research. When human subjects quit clinical trials, what do researchers and statisticians do with incomplete results when trying to estimate survival probability?
Statistics professor Mai Zhou’s new book, “Empirical Likelihood Method in Survival Analysis,” aims to answer these questions by applying a new principle to data approximation dealing with duration.
“Empirical likelihood is a relatively new method. I’ve been fascinated by this method since the terminology was invented in 2001,” Zhou explained. Since then, he has been on leave twice to collaborate with partners and been awarded two research grants from the National Science Foundation for work leading toward his book.
As Zhou explains, likelihood is