VAR_INMB: A Reference Class to represent the Hypothetical variance of...

In EBASS: Sample Size Calculation Method for Cost-Effectiveness Studies Based on Expected Value of Perfect Information

Description

Hypothetical variance of the Incremental Net Monetary Benefit.

Fields

sdc

: common standard deviation of costs in each group

sde

: common standard deviation of effectiveness in each group

rho

: coefficient of correlation between the difference in costs (dc) and the difference in effectiveness (de)

object_lambda

: an object lambda. Create one with create_object_lambda. It contains lambda : the ceiling cost-effectiveness ratio or maximum acceptable cost of a unit of effectiveness

Methods

set_sdc(sdc):

Sets the common standard deviation of costs in each group for this VAR_INMB object

set_sde(sde):

Sets the common standard deviation of effectiveness in each group for this VAR_INMB object

set_rho(rho):

Sets the coefficient of correlation between the difference in costs (dc) and the difference in effectiveness (de)

set_object_lambda(object_lambda):

Sets the object_lambda of this VAR_INMB object

get_var_inmb():

Return the calculated hypothetical variance of the Incremental Net Monetary Benefit (INMB)

See Also

create_object_var_inmb_direct to directly provide a value for the variance of the Incremental Net Monetary Benefit

create_object_var_inmb_diff to calculate the theoretical standard deviation of the expected INB with different standard deviation in the reference and the experimental group

create_object_var_inmb the constructor

Examples

## First, create a lambda object
object_lambda <- create_object_lambda (20000)
## Then, create a var_inmb object
var_inmb <- create_object_var_inmb(sde=0.12, sdc=2100, rho=0.1, object_lambda=object_lambda)
var_inmb$get_var_inmb()

EBASS documentation built on May 1, 2019, 6:54 p.m.