nma: Network meta-analysis for the whole dataset.

In NMAoutlier: Detecting Outliers in Network Meta-Analysis

Description

Conduct network meta-analysis (Rücker model) for the whole dataset.

Usage

nma(TE, seTE, treat1, treat2, studlab, reference, 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).
reference	Reference treatment group
names.treat	names of treatments

Value

Within-study standard error, design matrix, summary estimate, heterogeneity from network meta-analysis.

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