**Question 1) ****Let f(x) be the probability that a person with feature x dies within 5 years.**

Let S (t) be the survival function of a person with feature 2. Assume t is measured in years.

Which of the following is true?

- f(x) = S (5)
- f(x) = 5_x(0)
**f(x) = 1-5_x(5)**

**Question 2)**

**The survival function is always:**

- Linear
**Decreasing**- Increasing

**Question 3)**

**Which of the following is a difference between survival data and classification datasets?**

- Survival data can be used to build prognostic models
- Classification dataset contain information on other features
**In survival data the labels are amounts of time and in classification data the labels are binary**

**Question 4)**

**Which of the following is an example of censoring?**

**Death due to other, unrelated causes (such as an automobile accident)****Patient does not have the event by the end of the study period.****The patient withdraws from a study before having an event, and before the study ends.**

**Question 5)**

**Estimate P(T > 2T >= 2) from the following dataset:**

*Hint:*PT> 2T >= 2) = (1 - PT = 2T >= 2))

- 1/4
**3/4**- 1/2
- 0

**Question 6)**

**Compute the probability of surviving up to 4 years S(4) given the following dataset using the Kaplan Meier estimate:**

The Kaplan Meier Estimator is

**1/2**- 1/4
- 0
- 3/4

**Question 7)**

**Compute S(5) given the following dataset using the Kaplan Meier estimate (note, it's the same dataset as in the previous question).**

The Kaplan Meier Estimator is

Hint: since we're using the same dataset as in the previous question, you may notice that

**0**- 1/4
- 3/4
- 1/2

**Question 8) True or False: If t is larger than the longest survival time recorded in the dataset, then S(t) = 0 according to the Kaplan Meier estimate**

The Kaplan Meier Estimator is

- True
**False**

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