Using the net benefit regression framework to construct cost-effectiveness acceptability curves: an example using data from a trial of external loop recorders versus Holter monitoring for ambulatory monitoring of

Table 2 Simple net benefit regression estimates (N = 100)^a

Explanatory variables	λ = $500^b coefficient (p-value)	λ = $1000 coefficient (p-value)	λ = $1500 coefficient (p-value)	λ = $2000 coefficient (p-value)	λ = $2500 coefficient (p-value)
Constant term	-95.27 (0.004)	22.37 (0.728)	140.02 (0.149)	257.67 (0.047)	375.32 (0.021)
LOOP	-236.90 (<0.001)	-38.22 (0.678)	160.46 (0.246)	359.14 (0.053)	557.82 (0.017)
R-squared	0.2143	0.0018	0.0137	0.0377	0.0570

^a The treatment indicator variable LOOP = 1 for the Loop recorder and 0 for the Holter monitor.
^b All monetary figures are in US dollars.

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