1. In most psychiatric trials the efficacy of a treatment is measured as a score reduction (e.g. HAMD score) from baseline.
For example, a standardized treatment mean of a new treatment can be -2 and placebo mean -1.6, yielding the standardized treatment effect (difference) of -0.4.
The software below implements a one-sided test with negative value of the treatment effect as an input.
2. We assume that the marginal placebo mean in stage 2, μX, that is, the mean in the whole population, is equal to the marginal placebo mean in stage 1.
Similarly for the marginal drug mean μY. We also assume that the correlation between placebo responses in stages 1 and 2 is non-negative.
Calculating required sample size for a given power Type I error rate, α (one-sided): | | * * * | Power: | | * * * | Allocation ratio, a: | | * * | Marginal treatment effect μY – μX in stages 1 and 2, θ1: | | * * | Conditional treatment effect in stage 2, θ2: | | * * | Marginal standard deviation in placebo group in both stages, σX: | | * * * | Conditional standard deviation in the placebo group in stage 2, τx: | | * * | Marginal standard deviation in drug group in both stages, σY: | | * * | Proportion of placebo non-responders in stage 1, r: | | * * | Retention rate, s: | | * * | First-stage weight in the linear combination of treatment effects, w: | | * * | |
| Calculating power for a given total sample size Type I error rate, α (one-sided): | | * * | Total sample size: | | * * | Allocation ratio, a: | | * * | Marginal treatment effect μY - μX in stages 1 and 2, θ1: | | * * | Conditional treatment effect in stage 2, θ2: | | * * | Marginal standard deviation in placebo group in both stages, σX: | | * * * | Conditional standard deviation in the placebo group in stage 2, τx: | | * * | Marginal standard deviation in drug group in both stages, σY: | | * * | Proportion of placebo non-responders in stage 1, r: | | * * | Retention rate, s: | | * * | First-stage weight in the linear combination of treatment effects, w: | | * * | |
|