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Kaplan-Meier and Nelson-Aalen are

Consider a pair of regression models based on the same covariates with Model A: Surv(Time, Status) ~ Sex + Age + Genotype + Rx Model B: Surv(Time, Status) ~ Sex + Age + Genotype*Rx Considering ONLY the main effects coefficient for each of the covariates below, which estimates will have different interpretations in the two models? Ignore any potential numerical changes in the estimates themselves and focus on the actual meaning of the coefficients. Sex: [q1] Age: [q2] Genotype: [q3] Rx: [q4]

The Wald confidence intervals for parameter estimates are based on 

How many times will the value of the Kaplan-Meier estimator change?

How many unique cutpoints are used to compute the Kaplan-Meier and Nelson-Aalen estimators? (Don’t include time 0).

Suppose we ignored right-censoring in our sample by treating individuals as having died at the censoring time. Is there bias in our estimate of the survival curve? If so, in what direction?

In the scenarios below, the log-rank test would have the lowest statistical power for [q1]. A weighted log-rank test would have the greatest increase in power over the unweighted log-rank test for [q2], and an unweighted log-rank test would have the highest power relative to a weighted test in [q3].

True or false: Our tiebreaking procedures assume that tied failure times are due to rounding from non-constant monitoring rather than being true ties.

“Les, a minor, enters into a contract to buy a dirt bike from Motocross LLC. Les can ordinarily disaffirm the contract”

The transfer of information from DNA to RNA occurs during _______, while the transfer of information from RNA to protein occurs during _______.