1. Improving Efficiency and Value in Palliative Care with Net Benefit Regression: An Introduction to a Simple Method for Cost-Effectiveness Analysis with Person-Level Data 
Jeffrey S. Hoch, PhD 
Journal of Pain and Symptom Management 
Volume 38, Issue 1, Pages (July 2009)
DOI: /j.jpainsymman
Copyright © 2009 U.S. Cancer Pain Relief Committee Terms and Conditions

2. Fig. 1
a) Net benefit for the new treatment (TX) and usual care (UC) groups, first presented with usual scaling followed by reverse scaling. b) Net benefit for the TX and UC groups, rotated to allow a regression to fit straight line from the average net benefit for UC to the average net benefit for TX.
Journal of Pain and Symptom Management  , 54-61DOI: ( /j.jpainsymman )
Copyright © 2009 U.S. Cancer Pain Relief Committee Terms and Conditions

3. Fig. 2
Cost and effect data by treatment-allocation status. o=usual care and x=new treatment. The table below the figure gives the data stratified by treatment-allocation status (tx=0 is usual care and tx=1 is new treatment).
Journal of Pain and Symptom Management  , 54-61DOI: ( /j.jpainsymman )
Copyright © 2009 U.S. Cancer Pain Relief Committee Terms and Conditions

4. Fig. 3
Estimates of INB and its 95% confidence interval as a function of different willingness-to-pay values.
Journal of Pain and Symptom Management  , 54-61DOI: ( /j.jpainsymman )
Copyright © 2009 U.S. Cancer Pain Relief Committee Terms and Conditions