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multinma

Bayesian Network Meta-Analysis of Individual and Aggregate Data

Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.

Functions (61)

Bernoulli

The Bernoulli Distribution

GammaDist

The Gamma distribution

aa_example_pso_mlnmr

Example plaque psoriasis ML-NMR

aa_example_smk_fe

Example smoking FE NMA

aa_example_smk_re

Example smoking RE NMA

aa_example_smk_ume

Example smoking UME NMA

adapt_delta

Target average acceptance probability

add_integration

Add numerical integration points to aggregate data

as.array.stan_nma

Convert samples into arrays, matrices, or data frames

as.stanfit

as.stanfit

atrial_fibrillation

Stroke prevention in atrial fibrillation patients

bcg_vaccine

BCG vaccination

blocker

Beta blockers to prevent mortality after MI

combine_network

Combine multiple data sources into one network

default_values

Set default values

diabetes

Incidence of diabetes in trials of antihypertensive drugs

dic

Deviance Information Criterion (DIC)

dietary_fat

Reduced dietary fat to prevent mortality

distr

Specify a general marginal distribution

generalised_t

Generalised Student's t distribution (with location and scale)

graph_conversion

Convert networks to graph objects

hta_psoriasis

HTA Plaque Psoriasis

is_network_connected

Check network connectedness

logitNormal

The logit Normal distribution

loo

Model comparison using the loo package

mcmc_array-class

Working with 3D MCMC arrays

multi

Multinomial outcome data

multinma-package

multinma: A Package for Network Meta-Analysis of Individual and Aggregate Data in Stan

nma

Network meta-analysis models

nma_data-class

The nma_data class

nma_dic-class

The nma_dic class

nma_prior-class

The nma_prior class

nma_summary-class

The nma_summary class

nma_summary-methods

Methods for nma_summary objects

pairs.stan_nma

Matrix of plots for a stan_nma object

parkinsons

Mean off-time reduction in Parkison's disease

plaque_psoriasis

Plaque psoriasis data

plot.nma_data

Network plots

plot.nma_dic

Plots of model fit diagnostics

plot.nma_summary

Plots of summary results

plot_integration_error

Plot numerical integration error

plot_prior_posterior

Plot prior vs posterior distribution

posterior_ranks

Treatment rankings and rank probabilities

predict.stan_nma

Predictions of absolute effects from NMA models

print.nma_data

Print nma_data objects

print.nma_dic

Print DIC details

print.stan_nma

Print stan_nma objects

priors

Prior distributions

random_effects

Random effects structure

relative_effects

Relative treatment effects

set_agd_arm

Set up arm-based aggregate data

set_agd_contrast

Set up contrast-based aggregate data

set_ipd

Set up individual patient data

smoking

Smoking cessation data

stan_nma-class

The stan_nma class

statins

Statins for cholesterol lowering

summary.nma_prior

Summary of prior distributions

summary.stan_nma

Posterior summaries from stan_nma objects

theme_multinma

Plot theme for multinma plots

thrombolytics

Thrombolytic treatments data

transfusion

Granulocyte transfusion in patients with neutropenia or neutrophil dysfunction

multinma

Bayesian Network Meta-Analysis of Individual and Aggregate Data

v0.3.0

GPL-3

Authors

David M. Phillippo [aut, cre] (<https://orcid.org/0000-0003-2672-7841>)

Initial release

multinma

Functions (61)

multinma

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