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Table 3 Using the net benefit regression results to create a cost-effectiveness acceptability curve (CEAC) with a comparison to bootstrapping the probability of cost-effectiveness

From: 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 "community acquired" syncope

λ Treatment Indicator Coefficient One sided p-value Probability of cost-effectiveness (regression) Probability of cost-effectiveness (bootstrapping)
  Estimate p-value    
$500 -236.90 <0.001 ≈ 0.000 0% 0%
$750 -137.56 0.048 0.024 2% 2%
$1000 -38.22 0.678 0.339 34% 33%
$1250 61.12 0.595 0.298 70% 71%
$1500 160.46 0.246 0.123 88% 89%
$1750 259.80 0.108 0.054 95% 94%
$2000 359.14 0.053 0.027 97% 97%
$2250 458.48 0.028 0.014 99% 98%
$2500 557.82 0.017 0.009 99% 99%
$2750 657.16 0.011 0.006 99% 99%
$3000 756.50 0.007 0.004 100% 100%