Overview of Examples"
In multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

This package contains a number of vignettes, each one walking through an example analysis. The table below gives an overview.

Many of these examples recreate analyses from the series of Technical Support Documents published by the NICE Decision Support Unit [@TSD_evsynth]. The exceptions are atrial fibrillation [@Cooper2009], white blood cell transfusion [@Turner2012], and plaque psoriasis multilevel network meta-regression [@methods_paper;@Phillippo2022].

Title | Outcome type | Likelihood | Link function | Notable features :-----|:-------------|:-----------|:--------------|:---------------- Blocker | Counts | Binomial | logit | Pairwise MA Dietary fat | Rates | Poisson | log | Analysis of log rate ratios from rate data Diabetes | Counts with time at risk | Binomial | cloglog | Analysis of log hazard ratios from count data with time at risk Parkinson's | Continuous | Normal | Identity | Analysis of arm-based data, contrast-based data, and a mixture of both HTA plaque psoriasis | Ordered | Multinomial (ordered) | probit | Analysis of ordered categorical outcomes Statins | Counts | Binomial | logit | Meta-regression with subgroups BCG vaccine | Counts | Binomial | logit | Meta-regression with a continuous covariate, predictive distributions Smoking cessation | Counts | Binomial | logit | Assessing inconsistency with unrelated mean effects and node-splitting models Thrombolytics | Counts | Binomial | logit | Assessing inconsistency with unrelated mean effects and node-splitting models Atrial fibrillation | Counts | Binomial | logit | Meta-regression with shared class interactions WBC transfusion | Counts | Binomial | logit | Informative log-Normal prior on $\tau^2$ ML-NMR plaque psoriasis | Binary (IPD) and counts (AgD), and ordered categorical | Bernoulli (IPD) and two-parameter Binomial (AgD), and ordered multinomial | probit | Multilevel network meta-regression combining IPD and AgD