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Biostats T/F II

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1.
1 point
Stratification allows a factor to be adjusted for without estimating its effect.
2.
1 point
Hazard ratio (HR) is a ratio of two hazard functions.
3.
1 point
The Cox proportional hazards (Cox PH) model assumes that the hazard rate does not change over time, HR(t) = HR.
4.
1 point
The Kaplan-Meier estimator is a nonparametric statistic, which is also called the product limit estimator.
5.
1 point
The hazard function, h(t), is the short-term event rate for subjects who have not yet experienced the event.
6.
1 point
The Cox proportional hazards (Cox PH) model is a proportional hazards regression model.
7.
1 point
If HR(hat)=1 or the confidence interval of the hazard ratio contains 1, the hazard rates for the two groups may be the same.
8.
1 point
The log-rank test is a nonparametric test and it is used to compare the survival functions between groups.
9.
1 point
The median survival time cannot be computed if the minimum value of the Kaplan-Meier estimate of a survival function for the certain group is larger than 0.5.
10.
1 point
The Cox proportional hazards (Cox PH) model assumes parametric form for the effect of predictors on the hazard.
11.
1 point
The hazard function is strictly positive.
12.
1 point
The Cox proportional hazards (Cox PH) model is a semiparametric model that makes no assumptions about the form of h(t).
13.
1 point
The h(t) of the Cox proportional hazards (Cox PH) model is the nonparametric part of the model.
14.
1 point
The median survival time is the time at which half the subject have died or experienced the event.
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