msurv: Summary survival curve from aggregated survival data of a...

In shubhrampandey/metaSurvival: Meta-analysis of a single survival curve using the multivariate methodology of DerSimonian and Laird

Summary survival curve from aggregated survival data of a meta-analysis

Description

Estimation of the summary survival curve from the survival rates and the numbers of at-risk individuals extracted from studies of a meta-analysis.

Usage

msurv(
  study,
  time,
  n.risk,
  surv.rate,
  confidence,
  correctionFlag = TRUE,
  correctionVal = c(0.25, 0.5)
)

Arguments

study	A numeric vector with the numbering of the studies included in the meta-analysis. The numbering of a study is repeated for each survival probabilities extracted from this study.
time	A numeric vector with the time at which the survival probabilities are collected.
n.risk	A numeric vector with the number of at-risk patients in the study for each value of thr time.
surv.rate	A numeric vector with the survival rates collected per study for each value of time.
confidence	A text argument indicating the method to calculate the confidence interval of the summary survival probabilities: "Greenwood" or "MonteCarlo".
correctionFlag	A logical variable which takes into account if user wants the continuity correaction or not (By default TRUE).
correctionVal	A numeric vector for continuity correction, if you don't want to apply correction pass c(0,0).

Value

list

Author(s)

Shubhram Pandey [e-mail]

Examples

attach(exampleData)
result <- msurv(study = Study,
                time = Time,
                 n.risk = NbRisk,
                 surv.rate = Survival,
                 confidence = "Greenwood",
                 correctionFlag = FALSE
                 )
result

shubhrampandey/metaSurvival documentation built on April 30, 2022, 9:16 p.m.