Hey @Rafael_Oliveira

To determine the time T when S1(T) = S2(T), we need to use the definition of survival functions and the given hazard functions.

We know that the survival function S1(t) is related to the hazard function h1(t) by the equation:

S1(t) = exp(-Integral[0,t] h1(s) ds)

Since h1(t) = t, we can integrate it to obtain:

Integral[0,t] h1(s) ds = 1/2 * t^2

Substituting this back into the first equation, we get:

S1(t) = exp(-1/2 * t^2)

Similarly, for h2(t) = 1, we have:

S2(t) = exp(-Integral[0,t] h2(s) ds) = exp(-t)

To find the time T when S1(T) = S2(T), we can set the two expressions equal to each other:

exp(-1/2 * T^2) = exp(-T)

Taking the natural logarithm of both sides, we get:

-1/2 * T^2 = -T

Simplifying this equation, we get:

T * (T - 2) = 0

So, T = 0 or T = 2.

However, T = 0 corresponds to the initial time point and is not a valid solution for the survival function, since S(T) is defined as the probability of survival at time T given that the subject has survived up to time T. Therefore, the correct answer is T = 2.

Graphically, h1(t) = t corresponds to a linearly increasing hazard function, which can be represented as a diagonal line with a slope of 1 in a hazard rate plot. The corresponding survival function S1(t) decreases smoothly from 1 to 0 as time increases. On the other hand, h2(t) = 1 corresponds to a constant hazard function, which can be represented as a horizontal line in a hazard rate plot. The corresponding survival function S2(t) decreases exponentially from 1 to 0 as time increases.