coef.missingHE: Extract regression coefficient estimates from objects in the...

In missingHE: Missing Outcome Data in Health Economic Evaluation

Extract regression coefficient estimates from objects in the class missingHE

Description

Produces a table printout with summary statistics for the regression coefficients of the health economic evaluation probabilistic model run using the function selection, selection_long, pattern or hurdle.

Usage

## S3 method for class 'missingHE'
coef(object, prob = c(0.025, 0.975), random = FALSE, time = 1, digits = 3, ...)

Arguments

object	A missingHE object containing the results of the Bayesian modelling and the economic evaluation
prob	A numeric vector of probabilities within the range (0,1), representing the upper and lower CI sample quantiles to be calculated and returned for the estimates.
random	Logical. If random is TRUE, the estimates of the random effects parameters are printed, when available.
time	A number indicating the time point at which posterior results for the model coefficients should be reported (only for longitudinal models).
digits	Number of digits to be displayed for each estimate.
...	Additional arguments affecting the summary produced.

Value

Prints a table with some summary statistics, including posterior mean, standard deviation and lower and upper quantiles based on the values specified in prob, for the posterior distributions of the regression coefficients of the effects and costs models run using the function selection, selection_long, pattern or hurdle.

Author(s)

Andrea Gabrio

See Also

selection selection_long pattern hurdle diagnostic plot.missingHE

Examples

 
# For examples see the function \code{\link{selection}}, \code{\link{selection_long}},
# \code{\link{pattern}} or \code{\link{hurdle}}
# 
# 

missingHE documentation built on March 31, 2023, 10:27 p.m.