Description
The simulator can help provide some sense about the outcome of a study under different scenarios (e.g. different standard deviations, sampling sizes). It can supplement power analysis. For example, suppose a study on a cholesterol lowering drug is about to be conducted and one measure of the outcome is the cholesterol level change in one month. In addition, it is hypothetically assumed that the mean and the standard deviation are -15 mg/dL and 20 mg/dL respectively for the medication arm. The corresponding parameters for the control arm are 0 mg/dL and 10 mg/dL. Different sample sizes can be entered to see how they affect the statistical significance of the difference between the treatment arm and the control arm. The standard deviations and the means can also be altered to see their effects. The same set of parameters can be run multiple times to see how the effect of the inherent random nature.
User Reviews for Trial Simulator 1
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Trial Simulator provides a useful platform for simulating t-tests with independent data. It aids in understanding study outcomes under various conditions.