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ipdmeta (version 2.1)

surv.covariance.variance: Construct covariance-variance matrix for study-level model of MLMA

Description

Constructs the "known" covariance-variance matrix for the transformed estimates of a survival meta-analysis. Responses are a set of survival proportions (points on KM plot) grouped in some way (study; treatment-within-study). The GLM framework has the link function g(x) = log(-log(x)).

Usage

surv.covariance.variance(surv,sigma2,group)

Arguments

surv
vector of survival estimates ordered by group
sigma2
vector of variances for surv estimates (on survival scale)
group
vector of grouping factor which should be treatment and study interaction

Value

  • Block-diagonal covariance-variance matrix.

See Also

bdiag