Note to moderator: Read the answerline carefully. Miguel Hernán pointed out that a ratio arising from this data lacks a useful causal interpretation because of a built-in selection bias. The often-violated namesake assumption of a semiparametric model used for this data can be checked by plotting Schoenfeld residuals. Popular textbooks on this type of data include ones written by the duos Kalbfleisch & Prentice and Klein & Moeschberger. Common features of this type of data are left (*) truncation and right (10[1])censoring. AFT models might assume this kind of data follows a Weibull distribution. The Kaplan-Meier estimator (10[1])is used (10[1])for the namesake (10[1])function of this type of data, (10[2])which is fit in the Cox proportional hazards model. This data’s namesake function is defined as “one minus the CDF.” (10[1])For 10 points, (-5[1])name this kind of data that records how long it takes until an event occurs, often (-5[1])death. (10[1])■END■ (10[1]0[2])