struct.psa {BCEA} | R Documentation |

## Structural Probability Sensitivity Analysis

### Description

Computes the weights to be associated with a set of competing models in order to perform structural PSA.

### Usage

```
struct.psa(
models,
effect,
cost,
ref = NULL,
interventions = NULL,
Kmax = 50000,
plot = FALSE,
w = NULL
)
```

### Arguments

`models` |
A list containing the output from either R2jags or R2WinBUGS for all the models that need to be combined in the model average |

`effect` |
A list containing the measure of effectiveness computed from the various models (one matrix with n.sim x n.ints simulations for each model) |

`cost` |
A list containing the measure of costs computed from the various models (one matrix with n.sim x n.ints simulations for each model) |

`ref` |
Which intervention is considered to be the reference
strategy. The default value |

`interventions` |
Defines the labels to be associated with each
intervention. By default and if |

`Kmax` |
Maximum value of the willingness to pay to be considered.
Default value is |

`plot` |
A logical value indicating whether the function should produce the summary plot or not |

`w` |
A vector of weights. By default it's NULL to indicate that the
function will calculate the model weights based on DIC and the individual
model fit. This behaviour can be overridden by passing a vector |

### Details

The model is a list containing the output from either R2jags or R2WinBUGS for all the models that need to be combined in the model average effect is a list containing the measure of effectiveness computed from the various models (one matrix with n_sim x n_ints simulations for each model) cost is a list containing the measure of costs computed from the various models (one matrix with n_sim x n_ints simulations for each model).

### Value

List object of bcea object, model weights and DIC

### Author(s)

Gianluca Baio

### References

Baio G (2013).
*Bayesian Methods in Health Economics*.
CRC.

### See Also

### Examples

```
## Not run:
# load sample jags output
load(system.file("extdata", "statins_base.RData", package = "BCEA"))
load(system.file("extdata", "statins_HC.RData", package = "BCEA"))
interventions <- c("Atorvastatin", "Fluvastatin",
"Lovastatin", "Pravastatin",
"Rosuvastatin", "Simvastatin")
m1 <- bcea(eff = statins_base$sims.list$effect,
cost = statins_base$sims.list$cost.tot,
ref = 1, interventions = interventions)
m2 <- bcea(eff = statins_HC$sims.list$effect,
cost = statins_HC$sims.list$cost.tot,
ref = 1, interventions = interventions)
models <- list(statins_base, statins_HC)
effects <- list(statins_base$sims.list$effect,
statins_HC$sims.list$effect)
costs <- list(statins_base$sims.list$cost.tot,
statins_HC$sims.list$cost.tot)
m3 <- struct.psa(models, effects, costs,
ref = 1, interventions = interventions)
## End(Not run)
```

*BCEA*version 2.4.6 Index]