Summary method for objects in the class missingHE — summary.missingHE • missingHE

Produces a table printout with some summary results of the health economic evaluation probabilistic model run using the function selection(), pattern(), hurdle() or lmdm().

Usage

# S3 method for class 'missingHE'
summary(object, incremental = FALSE, prob = c(0.025, 0.975), digits = 3, ...)

Arguments

object: A missingHE object containing the results of the Bayesian modelling and the economic evaluation
incremental: Logical. If incremental = TRUE, incremental CE results are printed.
prob: A numeric vector of probabilities within the range (0, 1), representing the upper and lower CI quantiles to be calculated and returned for the posterior estimates.
digits: Integer indicating the number of decimal places to be used for rounding (default = 3).
...: Additional arguments affecting the summary produced.

Value

Prints tables with information on the CE results based on a model fitted using the function selection(), pattern(), hurdle() or lmdm(). Summary information on the main parameters of interests is provided.

References

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

Author

Andrea Gabrio

Examples

# For examples see the function [selection()], [pattern()], [hurdle()] or [lmdm()].
#
#

Summary method for objects in the class `missingHE`