A.
Statistical significance.
✓
B.
Clinical significance.
✓
C.
Accuracy (lack of bias) over precision.
✓
A.
Independent samples t-test.
✓
D.
Spearman's rank correlation or a non-parametric test for association.
✓
C.
Confidence interval.
✓
A.
Simple linear regression.
✓
B.
Logistic regression.
✓
C.
Multiple linear regression.
✓
A.
The probability of making a Type I error.
✓
B.
The probability that the confidence interval contains the true population parameter.
✓
C.
The power of the test.
✓
B.
Logistic regression.
✓
D.
Survival regression.
✓
A.
Small sample size and low power are sufficient.
✓
B.
A very large sample size and high power are critically needed.
✓
C.
Sample size is irrelevant for small effects.
✓
D.
The study should not be conducted.
✓
A.
Independent samples t-test.
✓
C.
Parameter estimation.
✓
