cdtmbnma - Component, Dose, and Time Network Meta-Analysis with
Dose-Dependent Interactions
Bayesian component model-based network meta-analysis for
treatment combinations with explicit component dose-response
and dose-dependent interaction surfaces. The main interface
fits single-timepoint arm-level networks with continuous or
binary outcomes, any number of components, additive, bilinear,
or saturating pairwise interactions, study-level random
effects, and prediction at unobserved dose combinations. A
stage-one longitudinal interface fits a two-component
exponential time-course model with a bilinear interaction on
the asymptote. Estimation uses 'Stan' through 'cmdstanr' or
'rstan'. Methods are described in Welton et al. (2009)
<doi:10.1093/aje/kwp014>, Mawdsley et al. (2016)
<doi:10.1002/psp4.12091>, Wicha et al. (2017)
<doi:10.1038/s41467-017-01929-y>, and Pedder et al. (2019)
<doi:10.1002/jrsm.1351>.
