Deck 9: Survival Analysis

Question 1

In survival analysis, which technique do we use to deal with those subjects who do not experience the target event during the period of data collection?

A) Regression
B) Listwise deletion
C) Multiple imputation
D) Censoring

Answer 1

D

Question 2

What information does the hazard function give us?

A) It shows the conditional probability that a subject will experience the event in a given time period
B) It shows the probability that a subject will survive past a given time period
C) It shows the likelihood that a subject will not experience the event in a given time period
D) It shows the probability that a subject will survive the period of data collection

Answer 2

A

Question 3

When is a proportional hazard model (Cox) used?

A) When we wish to graph the survival function of our single event data
B) When we wish to investigate the effect of multiple covariates on the time for a certain event to take place
C) When we wish to test both time-invariant and time-varying covariates
D) When we wish to produce the cumulative survivor function

Answer 3

B,C

Question 4

What is the PH-assumption?

A) The probability of Y=0 do not exceed 0.25
B) The hazard ratio increases over time
C) The hazard ratio decreases over time
D) The ratio of the hazard for subjects with different values on covariates is the same across time periods

Question 5

What is it called when it is several possible different outcomes when moving from one state to another?

A) Observed event times
B) Multiple events
C) Competing risks
D) Cox paradox