Fieller's Confidence Intervals
Incremental Cost-Effectiveness
ICERs, Quadrants, CEAC, INB, EVPI

(Many of the followng calculations use Central Limit Theorem formula based on studies by Nixon et al.)
Calculator and Plotter
Health Decision Strategies, LLC.
Dataset Selection Page
::: Click the Links for Datasets "A" through "I" to Calculate and Plot
Different Types of Potential Results :::
(Beta Test Version - for educational experimentation only, not for official use)
Nine DATASETS
(Click "A" to "I")
Effect Difference Vs Baseline
Lower Equal Higher
Cost Difference Vs Baseline HigherAB C
EqualD E F
LowerG HI



A = Dominated (higher cost and less effective vs baseline).
C= Tradeoff (higher cost and more effective vs baseline).
E = Arbitrary (similar cost and similar effect vs baseline).
G = Tradeoff (lower cost and lower effectiveness vs baseline).
I = Dominant (lower cost and more effective vs baseline).

Sample Chart from Results Pages

Incremental Quadrant Explanation




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, O’Brien 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. 23:377–401, 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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