Regarding Risk-Ratio analysis, choose the correct answer

Statistical inference uses the logs of Risk-ratios

Regarding the Time-to-Event variables choose the CORRECT answer

It is the time it takes an event to occur and if it does

The Kaplan Meier methods

Estimate the probability to survive past certain times

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Assistantship 6

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Survival Analysis

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Questions 10

Answers

1
Chose the incorrect condition to use a Kruskall-Wallis Test
Sample size must be large
The outcome variable is continuous
The observation are not correlated
Can be used for 3 or more groups
2
For Time-to-Event outcomes for correlated measurements can be compared using:
Frailty model
Cox Regression
Kaplan-Meier statistics
Rate ratio
3
Regarding Risk-Ratio analysis, choose the correct answer
Statistical inference uses the logs of Risk-ratios
You cannot calculate p-values
Can be used for correlated measurements
Difference in proportions distribute t-Student
4
Regarding the Time-to-Event variables choose the CORRECT answer
It has to be available in all type of studies
It is the time it takes an event to occur and if it does
They are binary variables
They are continuous variables
5
The Fisher exact test is an alternative to:
Chi-square test
Risk difference/crelative risks
Logistic regression
GEE modelling
6
The censored subjects are:
Discarded
Counted as event-free
Have the event after a study ends
Counted as event at the end of the study
7
If you want to compare cholesterol levels between 100 non-drinkers and 100 uncorrelated drinkers you should use:
Paired T-test
T-test
Cox Regression
ANOVA
8
The Kaplan Meier methods
Estimate the probability to survive past certain times
Are parametric
Not take into account censoring
Are different from the proportion of survivors if there is no censoring
9
Consider a initial sample of N=10.If 1 dies and 1 is censored at t=2, and 2 die at t=4,Then P(T>4) is:
2/3
54/80
7/10
4/5
10
In case the requirements to run an ANOVA are not met, you can use a:
Wilcoxon rank-sum test
Wilcoxon sign-rank test
Kruskal-Waliis test
Spearman rank correlation coefficient

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