diffNB: Computes difference between net benefits from 2 distinct...

In agaye/ceeComp: Assessing agreement between cost-effectiveness estimates from differentes sources

Description

The function takes 2 datasets and a vector of wilingness-to-pay values. The dataset MUST have 4 columns ID, RESPONSE, COST and TREATMENT which hold respectively unique subject identifiers, treatment outcome, treatment cost and 2 treatment arms names. If no values are for wilingness-to-pay, 101 default values ranging from 0 to 500,000 are used to estimate the difference between net benefits from the 2 datasets

Usage

diffNB(data1 = NULL, data2 = NULL, will2pay = NULL, CI = 0.95,
  treatResponse = "beneficial")

Arguments

data1	a dataset with 4 columns holding respectively, ID, treatment outcome, treatment cost and treatment arm.
data2	a dataset with 4 columns holding respectively, ID, treatment outcome, treatment cost and treatment arm.
will2pay	a numeric vector of willingness-to-pay thresholds.
CI	confidence interval.
treatResponse	a character, default is beneficial i.e. the treatment resulted in beneficial response; otherwise harmful, the treatement resulted in harmful outcome.

Details

to be written

Value

a list which holds the below items; items other than covNB are optional, set the the parameter extraOutput to have those items returned: diffNB to be written sediffNB to be written lcldiffNB to be written ucldiffNB to be written pvaluediffNB to be written

Author(s)

Amadou Gaye & Felix Achana

Examples

{

# load examples datasets
data(dataset1); data(dataset2)

# diffNB computation using the default willingness-to-pay thresholds
results <- diffNB(data1=dataset1, data2=dataset2)

}

agaye/ceeComp documentation built on May 10, 2019, 7:32 a.m.