model_netmeta: Frequentist net-meta model for MD, HR, and RR This function...

In meta2020/net.meta: The Functions for Network Meta Analysis

Description

Frequentist net-meta model for MD, HR, and RR

This function is the warpper of netmeta and pairwise functions from netmeta package.
R packgae netmeta is required.

Usage

model_netmeta(
  long.data,
  id.treatments,
  treatment,
  reference,
  outcome = c("MD", "HR", "RR")
)

Arguments

long.data	data.frame to be analyzed should be formatted in long format "MD" needs treat, n, mean, sd; "RR" needs treat, event, n "HR" needs treat, event, time
id.treatments	data.frame to specify the id and treatments
treatment	treatment names or labels
reference	the referential id in the net-meta
outcome	the outcome should be MD-mean difference, HR-hazard ratio, and RR-risk ratio

Value

Summary list of the results

Examples

LDT1 <- read.csv(system.file("extdata", "HR_SH_D.csv", package = "net.meta"))
trt1 <- read.table(system.file("extdata", "HR_SH_D.txt", package = "net.meta"),
    header=TRUE,quote = '"', stringsAsFactors=FALSE)

trt1$description <- factor(trt1$description, trt1$description)
LDT1$study <- factor(LDT1$study, unique(LDT1$study))

trt1$label <- paste0(trt1$id,"-", trt1$description)
LDT1$label <- factor(LDT1$treatment, labels = trt1$label)

set.seed(1)
nmt.lab1 <- model_netmeta(
  long.data=LDT1[,-2],
  treatment=LDT1$label,
  id.treatments=trt1,
  reference = "A",
  outcome="HR")

meta2020/net.meta documentation built on March 30, 2021, 7:31 p.m.