netmet: Network meta-analysis for a set of studies

In NMAoutlier: Detecting Outliers in Network Meta-Analysis

Description

Conduct network meta-analysis (Rücker model) for a set of studies.

Usage

netmet(
  TE,
  seTE,
  treat1,
  treat2,
  studlab,
  ind.bs,
  reference,
  small.values,
  names.treat,
  ...
)

Arguments

TE	Estimate of treatment effect, i.e. difference between first and second treatment (e.g. log odds ratio, mean difference, or log hazard ratio).
seTE	Standard error of treatment estimate.
treat1	Label/Number for first treatment.
treat2	Label/Number for second treatment.
studlab	Study labels (important when multi arm studies are included).
ind.bs	indices of studies in basic set
reference	Reference treatment group
small.values	small.values for P-score. A character string indicating if small values are considered bad ("bad") or good ("good").
names.treat	names of treatments
...	Additional arguments passed on to netmeta.

Value

results and statistics from network meta-analysis.

NMAoutlier documentation built on Oct. 11, 2021, 5:23 p.m.