Often, subjects are randomly entered, and this continues until the study is finished.

Hazard rate is another significant feature of survival analysis. Through hazard rate, anyone can find out the exact time from the given data. An example of discrete data is large intervals (months, years, and decades). In other words, hazard rate (discrete time) defines the probability, which an individual knows for an event at time t, and in doing so, an individual's life may be in danger. In short, hazard rate is the unseen rate for any event. To explain this further, let's consider a few examples. If hazard rate is constant and equal to 2, it means that in one unit, two events will occur in the given time interval, which is one unit longer than usual. In another case, let's consider that one person's hazard rate was 3.2 and the other person had 3.4 at the same time t; this means that the other person's high event risk was two times higher than the first one. Though hazard rate...