View source: R/SurrogateSeq.functions.R
cov.surr.gs | R Documentation |
Computes variances and standardized covariance matrix for the group sequential statistic
cov.surr.gs(s0.4.est, s1.4.est, sa.0, ya.0, nb.0, nb.1, full.matrix = TRUE,
naive = FALSE)
s0.4.est |
surrogate marker in the control group which is used for estimating means and covariances of S0, S1 in the Study B data. For designing tests (e.g., finding boundaries) these may come from Study A data, but for analyzing tests these may come from Study B data. Number of columns is the number of stages, number of rows may differ from rows in sa.0 |
s1.4.est |
surrogate marker in the treated group which is used for estimating means and covariances of S0, S1 in the Study B data. For designing tests (e.g., finding boundaries) these may come from Study A data, but for analyzing tests these may come from Study B data. Number of columns is the number of stages, number of rows may differ from rows in sa.0 |
sa.0 |
surrogate marker in the control group in Study A |
ya.0 |
primary outcome in the control group in Study A |
nb.0 |
sample size for the control group in Study B |
nb.1 |
sample size for the treated group in Study B |
full.matrix |
if TRUE, the standardized covariance matrix is provided; default is TRUE |
naive |
user should set to TRUE to compute covariance for "cumulative" test statistic, FALSE for naive statistic that only uses study B data from timepoint J at the J-th analysis; default is FALSE |
Returns a list:
var.vec.del |
variance vector computed by the delta method |
cov.stand.del |
if full.matrix = TRUE, covariance matrix of the standardized test statistic computed by the delta method |
var.vec.samp |
variance vector computed by the sample mean and covariance of s0.4.est and s1.4.est |
cov.stand.samp |
if full.matrix = TRUE, covariance matrix of the standardized test statistic computed by the sample mean and covariance of s0.4.est and s1.4.est |
Jay Bartroff
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