Ka Young Park
University of Florida
Comparison of two hazard rate functions is important for evaluating treatment effect in studies concerning times to some important events. This talk will discuss two research problems on that topic. The first problem is about the case when the two hazard rate functions cross each other, and the second problem is on situation when they are different only after a certain time point. Both problems are common in practice. The first one occurs when the treatment is effective in certain time periods, but not the others. The second one occurs when there is treatment lag-effect. In the past several years, we have developed effective new statistical methods to handle these two problems. Numerical studies and theoretical arguments show that they are effective in practice.
---
All statistics students are expected to attend.