contour.bcea {BCEA} | R Documentation |

Contour method for objects in the class `bcea`

.
Produces a scatterplot of the cost-effectiveness plane, with a contour-plot
of the bivariate density of the differentials of cost (y-axis) and
effectiveness (x-axis).

## S3 method for class 'bcea' contour( he, scale = 0.5, nlevels = 4, levels = NULL, pos = c(1, 0), xlim = NULL, ylim = NULL, graph = c("base", "ggplot2"), ... ) contour(he, ...)

`he` |
A |

`scale` |
Scales the plot as a function of the observed standard deviation. |

`nlevels` |
Number of levels to be plotted in the contour. |

`levels` |
Numeric vector of levels at which to draw contour lines.
Will be ignored using |

`pos` |
Parameter to set the position of the legend (only relevant for
multiple interventions, ie more than 2 interventions being compared).
Can be given in form
of a string |

`xlim` |
The range of the plot along the x-axis. If NULL (default) it is
determined by the range of the simulated values for |

`ylim` |
The range of the plot along the y-axis. If NULL (default) it is
determined by the range of the simulated values for |

`graph` |
A string used to select the graphical engine to use for
plotting. Should (partial-) match the two options |

`...` |
Additional arguments |

`ceplane` |
A ggplot object containing the plot. Returned only
if |

Plots the cost-effectiveness plane with a
scatterplot of all the simulated values from the (posterior) bivariate
distribution of (*Δ_e, Δ_c*), the differentials of effectiveness and
costs; superimposes a contour of the distribution and prints the estimated
value of the probability of each quadrant (combination of positive/negative
values for both *Δ_e* and *Δ_c*)

Gianluca Baio, Andrea Berardi

Baio, G., Dawid, A. P. (2011). Probabilistic Sensitivity Analysis in Health Economics. Statistical Methods in Medical Research doi:10.1177/0962280211419832.

Baio G. (2012). Bayesian Methods in Health Economics. CRC/Chapman Hall, London.

data(Vaccine) # Runs the health economic evaluation using BCEA m <- bcea(e=e, c=c, # defines the variables of # effectiveness and cost ref=2, # selects the 2nd row of (e,c) # as containing the reference intervention interventions=treats, # defines the labels to be associated # with each intervention Kmax=50000, # maximum value possible for the willingness # to pay threshold; implies that k is chosen # in a grid from the interval (0,Kmax) plot=TRUE # plots the results ) contour(m) contour(m, graph = "ggplot2") # Plots the contour and scatterplot of the bivariate # distribution of (Delta_e, Delta_c) contour(m, # uses the results of the economic evaluation # (a "bcea" object) comparison=1, # if more than 2 interventions, selects the # pairwise comparison nlevels=4, # selects the number of levels to be # plotted (default=4) levels=NULL, # specifies the actual levels to be plotted # (default=NULL, so that R will decide) scale=0.5, # scales the bandwidths for both x- and # y-axis (default=0.5) graph="base" # uses base graphics to produce the plot )

[Package *BCEA* version 2.4.1 Index]