MBNMAdose (version 0.4.3)

duser: User-defined dose-response function

Description

User-defined dose-response function

Usage

duser(fun, beta.1 = "rel", beta.2 = "rel", beta.3 = "rel", beta.4 = "rel")

Value

An object of class("dosefun")

Arguments

fun

A formula specifying any relationship including dose and one/several of: beta.1, beta.2, beta.3, beta.4.

beta.1

Pooling for the 1st coefficient. Can take "rel", "common", "random" or be assigned a numeric value (see details).

beta.2

Pooling for the 2nd coefficient. Can take "rel", "common", "random" or be assigned a numeric value (see details).

beta.3

Pooling for the 3rd coefficient. Can take "rel", "common", "random" or be assigned a numeric value (see details).

beta.4

Pooling for the 4th coefficient. Can take "rel", "common", "random" or be assigned a numeric value (see details).

Dose-response parameters

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().

References

Examples

dr <- ~ beta.1 * (1/(dose+1)) + beta.2 * dose^2
duser(fun=dr,
  beta.1="common", beta.2="rel")