Lifetime Data Analysis: An Introduction -
Lifetime Data Analysis is a branch of applied statistics mainly concerned with the study of  lifetimes of subjects, like patients in a hospital or manufactured equipment in an industrial life test. A distinguishing feature of lifetime data is the possible presence of censoring. We will discuss some common censoring types that occur in practice. We will introduce some important statistical models commonly used in lifetime data analysis. Goodness of fit techniques for these models based on censored data will be discussed. Statistical inference procedures based on the likelihood function with censored data will be presented. Further topics will be briefly discussed.

This talk will be virtual. Zoom link available here. If outside the Reed community, please contact Lisa Mickola (mickola@reed.edu) for the zoom link.