Fieller's Confidence Intervals
Incremental Cost-Effectiveness
Value of Information
Calculator and Plotter

Health Decision Strategies, LLC.

Data Entry Page
--  Beta version, for demonstration only. -
   

Data Entry for: Incremental
Cost Effectiveness Ratio

 For this first section of boxes, change the values in the four center white boxes and click "Calculate" to display the Incremental Cost Effectiveness Ratio (ICER)

Factors

Treatment

Control

Incremental Analysis

Costs (Inputs)

Effectiveness (Outcomes)
 

 

 

Cost Effectiveness Ratio Slope=(Cost/Effect)

 ICER

 

 


Data Entry for: Fieller's
95% Confidence Intervals

In order to calculate Fieller's Confidence Intervals (CI) for a Cost-Effectiveness Ratio, values must be entered for the eight boxes directly below. With the dataset of cost and effects for each individual patient, these values can be generated from a spreadsheet program like MS Excel.

Treatment

Control

Number of Cases
Cost Standard Deviation
Effect Standard Deviation
Cost-Effect Correlation
    

Upper
97.5% Slope

Lower
2.5% Slope
Fieller's CI


Note: In addition to using Fieller's formulas, other calculations are based on the central limit theorum (CLT) as presented in reference #5. These data input values are based roughly from the study in reference #6.


Sample Chart from Results Page




Resources:
1. Kerelakes DJ, Obenchain RL et al. Abciximab provides cost-effective survival advantage in high-volume interventional practice. Am. Heart J. 140:603-10; 2000.
2. Obenchain RL. Resampling and multiplicity in cost-effectiveness inference. J. Biopharmaecutical Statistics. 9(4), 563-582, 1999.
3. Obenchain RL et al. Bootstrap analyses of cost effectiveness in antidepressant pharmacotherapy. PharmacoEconomics. 11(5):464-472, 1997.
4. Briggs AH, OBrien BJ, and Blackhouse G. Thinking outside the box: recent advances in the analysis and presentation of uncertainty in cost-effectiveness studies. Annual Rev. Public Health. 23:377401, 2002.
5. Nixon RM et al. Non-parametric methods for cost-effectiveness analysis: the central limit theorem and the bootstrap compared. Health Economics. 19:316-333, 2010.
6. Kim N. et al. An economic analysis of usual care and acupuncture collaborative treatment on chronic low back pain: a Markov decision analysis. BMC Complementary and Alternative Med. 10:74, 2010.

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