value_of_hope: Value of hope
In InnovationValueInitiative/IVI-NSCLC: The IVI-NSCLC model

Description Usage Arguments Details Value See Also

Compute the quality-adjusted life-years (QALYs) that a patient would need to obtain to be indifferent between treatment sequences relative to a reference treatment sequence (i.e., compute the "certainty equivalent"), give differences in the distribution of QALYs.

1	value_of_hope(econmod, comparator, crra = 0.39, dr = 0.03)

`econmod`	An economic model of class `"IndivCtstm"`. Disease progression must have been previously simulated (i.e., `$disprog_` cannot be `NULL`.)
`comparator`	The `strategy_id` from `econmod` to use as the comparator.
`crra`	Constant relative risk aversion parameter.
`dr`	Discount rate.

The value of hope is the difference between the certainty equivalent and differences in mean QALYs between a given treatment strategy and a comparator. That is, if α is the certainty equivalent, then the value of hope for treatment strategy 2 relative to treatment strategy 1 is

α - (E[qalys_2] - E[qalys_1])

A data.table with columns:

strategy_id: The treatment strategy ID.
comparator: Equal to 1 if the treatment strategy is the comparator and 0 otherwise.
qalys: Mean QALYs.
iqalys: Incremental mean QALYs; that is, mean QALYs relative to the comparator.
ce: The certainty equivalent.
voh: The 'value of hope'. See 'Details'.