Sample size for a repeated-measures continuous endpoint
Source:R/power.R
sampleSizeRepeatedMeasures.RdComparison of the mean of n_measurements post-baseline measurements
under a compound-symmetry correlation correlation between them. The
effective variance is \(\sigma^2 [1 + (r-1)\rho]/r\), so more visits help
most when the within-subject correlation is low.
Usage
sampleSizeRepeatedMeasures(
delta,
sd,
n_measurements,
correlation,
power = 0.8,
sig_level = 0.05,
ratio = 1,
sides = 2L,
dropout = 0,
cluster_size = NULL,
icc = NULL
)Arguments
- delta, sd, power, sig_level, ratio, sides, dropout, cluster_size, icc
As in
sampleSizeContinuous().- n_measurements
Number of post-baseline measurements per subject.
- correlation
Compound-symmetry correlation between measurements (0-1).