NMA Studio Network Meta-Analysis (HR, OR)
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Welcome
Summary table
Forest plot
League table
Rankogram
SUCRA
Trace / density
Heterogeneity
Priors
Model fit
Inconsistency
Manifest
Raw R output
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Network Meta-Analysis

Upload your trial data, map columns, choose an R package, tune parameters, and run. Every analysis produces a downloadable bundle containing the exact R script and input — you can re-run it in RStudio for validation.

  • Measure types: time-to-event (HR), binary (OR)
  • Example labels: OS, PFS, ORR, CR, any-grade AE, grade 3+ AE, discontinuation
  • Supports up to 4 arms per trial, up to 4 jumps in the network
  • R packages: gemtc, multinma
  • Fixed-effect and random-effects models; Bayesian framework
  • Switch to ITC in the header for a Bucher (frequentist) or full-NMA-sliced (Bayesian) indirect treatment comparison.