Typos
occured->occurred
before hand->beforehand
serverly->severely
@@ -30,7 +30,7 @@ Censoring
At the time you want to make inferences about durations, it is possible, likely
-true, that not all the death events have occured yet. For example, a
+true, that not all the death events have occurred yet. For example, a
medical professional will not wait 50 years for each individual in the
study to pass away before investigating -- he or she is interested in
the effectiveness of improving lifetimes after only a few years, or months possibly.
@@ -59,7 +59,7 @@ has been observed, and the blue lines denote the lifespan of the
right-censored individuals (deaths have not been observed). If we are
asked to estimate the average lifetime of our population, and we naively
decided to *not* included the right-censored individuals, it is clear
-that we would be serverly underestimating the true average lifespan.
+that we would be severely underestimating the true average lifespan.
.. code:: python
@@ -125,7 +125,7 @@ a customer entering a store is a birth: a customer can enter at
any time, and not necessarily at time zero. In survival analysis, durations
are relative: individuals may start at different times.
(We actually only need the *duration* of the observation, and not
-the necessarily the start and end time.)
+necessarily the start and end time.)
We next introduce the two fundamental objects in survival analysis, the
*survival function* and the *hazard function*.
@@ -144,7 +144,7 @@ a webpage (an infinite time if they never do). The survival function -
.. math:: S(t) = Pr( T > t)
-In plain English: the survival function defines the probability the death event has not occured yet at time
+In plain English: the survival function defines the probability the death event has not occurred yet at time
:math:`t`, or equivalently, the probability of surviving past time
:math:`t`. Note the following properties of the survival function:
