summary.missingHE: Summary method for objects in the class 'missingHE'

In missingHE: Missing Outcome Data in Health Economic Evaluation

Summary method for objects in the class missingHE

Description

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 is 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 or hurdle. Summary information on the main parameters of interests is provided.

Author(s)

Andrea Gabrio

References

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

See Also

selection pattern hurdle lmdm diagnostic plot.missingHE

Examples

# For examples see the function selection, pattern or hurdle
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missingHE documentation built on March 19, 2026, 5:06 p.m.