Similar parameterisation to the Emax model but with non-asymptotic maximal effect (Emax). Proposed by proposed by fumanner;textualMBNMAdose
ditp(emax = "rel", rate = "rel", p.expon = FALSE)An object of class("dosefun")
Pooling for Emax parameter. Can take "rel", "common", "random" or be
assigned a numeric value (see details).
Pooling for Rate parameter. Can take "rel", "common", "random" or be
assigned a numeric value (see details).
A logical object to indicate whether ed50 and hill parameters should be
expressed within the dose-response function on an exponential scale
| Argument | Model specification |
"rel" | Implies that relative effects should be pooled for this dose-response parameter separately for each agent in the network. |
"common" | Implies that all agents share the same common effect for this dose-response parameter. |
"random" | Implies that all agents share a similar (exchangeable) effect for this dose-response parameter. This approach allows for modelling of variability between agents. |
numeric() | Assigned a numeric value, indicating that this dose-response parameter should not be estimated from the data but should be assigned the numeric value determined by the user. This can be useful for fixing specific dose-response parameters (e.g. Hill parameters in Emax functions) to a single value. |
When relative effects are modelled on more than one dose-response parameter,
correlation between them is automatically estimated using a vague inverse-Wishart prior.
This prior can be made slightly more informative by specifying the scale matrix omega
and by changing the degrees of freedom of the inverse-Wishart prior
using the priors argument in mbnma.run().
Emax represents the maximum response. Rate represents the rate at which a change in the dose of the drug leads to a change in the effect
$${E_{max}}\times\frac{(1-exp(-{rate}\times{x}))}{(1-exp(-{rate}\times{max(x)}))}$$
# Model a common effect on rate
ditp(emax="rel", rate="common")
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