aa_example_ndmm: Example newly-diagnosed multiple myeloma

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

Example newly-diagnosed multiple myeloma

Description

Calling example("example_ndmm") will run a proportional hazards Weibull NMA model on the newly-diagnosed multiple myeloma data, using the code in the Examples section below. The resulting stan_nma object ndmm_fit will then be available in the global environment.

Examples

# Set up newly-diagnosed multiple myeloma network

head(ndmm_ipd)
head(ndmm_agd)

ndmm_net <- combine_network(
  set_ipd(ndmm_ipd,
          study, trt,
          Surv = Surv(eventtime / 12, status)),
  set_agd_surv(ndmm_agd,
               study, trt,
               Surv = Surv(eventtime / 12, status),
               covariates = ndmm_agd_covs))

# Fit Weibull (PH) model
ndmm_fit <- nma(ndmm_net, 
                likelihood = "weibull",
                prior_intercept = normal(scale = 100),
                prior_trt = normal(scale = 10),
                prior_aux = half_normal(scale = 10))

ndmm_fit

multinma documentation built on April 4, 2025, 3:46 a.m.