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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%