Biostats Final Exam Chapter 12: Survival
Analysis UPDATED Study Guide
QUESTIONS AND CORRECT ANSWERS
- Survival Analysis - CORRECT ANSWERS Outcome: Time
to binary event (like time to death)
Measure whether a person has an event or not
Estimate survival time
Determine factors associated with longer survival time
Censored Data - CORRECT ANSWERS Outcome of interest
has not been observed by the end of the study period (loss of follow-
up, drop outs, deaths)
Non-censored data - CORRECT ANSWERS Outcome of
interest has been observed by the end of the study period (full
completion)
Key features of survival data - CORRECT ANSWERS -
Because of censoring in survival data, we cannot compare mean or
median time-to-event between different groups using a t-test or linear
regression
-Because time is factored in survival data, we cannot compare
proportion of events between different groups using risk or odds ratio
Focus on two nonparametric approaches in Survival Function -
CORRECT ANSWERS Actuarial or life-table approach
Kaplan-Meier approach
Analysis UPDATED Study Guide
QUESTIONS AND CORRECT ANSWERS
- Survival Analysis - CORRECT ANSWERS Outcome: Time
to binary event (like time to death)
Measure whether a person has an event or not
Estimate survival time
Determine factors associated with longer survival time
Censored Data - CORRECT ANSWERS Outcome of interest
has not been observed by the end of the study period (loss of follow-
up, drop outs, deaths)
Non-censored data - CORRECT ANSWERS Outcome of
interest has been observed by the end of the study period (full
completion)
Key features of survival data - CORRECT ANSWERS -
Because of censoring in survival data, we cannot compare mean or
median time-to-event between different groups using a t-test or linear
regression
-Because time is factored in survival data, we cannot compare
proportion of events between different groups using risk or odds ratio
Focus on two nonparametric approaches in Survival Function -
CORRECT ANSWERS Actuarial or life-table approach
Kaplan-Meier approach
