Concept Architecture
Concept
Theoretically, Confidence Ellipse is a graphical statistical method used to represent the joint uncertainty surrounding the estimates of two correlated parameters. It is derived from multivariate statistical theory and defines the region within which the true parameter values are expected to lie with a specified confidence level. In health economics, confidence ellipses are commonly used to display joint uncertainty in incremental costs and incremental effects on the cost-effectiveness plane.
Mathematically, a confidence ellipse is defined from the variance-covariance matrix of two parameter estimates. The ellipse consists of all parameter combinations whose Mahalanobis distance from the estimated mean is less than a specified critical value from the chi-square distribution. Its size, shape and orientation are determined by the variances and covariance of the estimated parameters.
In practice, confidence ellipses are estimated from regression models, bootstrap samples or probabilistic sensitivity analyses. They are routinely plotted on the cost-effectiveness plane to illustrate the joint uncertainty surrounding incremental cost and incremental effectiveness estimates and to support interpretation of decision uncertainty.
Purpose
Used to quantify and visualise the joint uncertainty of two correlated parameter estimates, particularly incremental costs and incremental health outcomes in health economic evaluations.
Mathematical Formulae
Primary Formula
(x ? ?)?�??(x ? ?) = ?�?,??�
where:
x = parameter vector
? = estimated mean vector
� = variance-covariance matrix
?�?,??� = chi-square critical value with 2 degrees of freedom
Supporting Formulae
Variance-covariance matrix:
� = [[�?�, �??], [�??, �?�]]
Mahalanobis distance:
D� = (x ? ?)?�??(x ? ?)
Related Mathematical Methods
- Variance-Covariance Matrix
- Mahalanobis Distance
- Multivariate Normal Distribution
- Bootstrap Analysis
- Probabilistic Sensitivity Analysis
- Cost-Effectiveness Plane
Example
A probabilistic sensitivity analysis estimates an incremental cost of �2,000 and an incremental effectiveness of 0.12 QALYs. The associated variance-covariance matrix is used to construct a 95% confidence ellipse on the cost-effectiveness plane. The ellipse summarises the joint uncertainty in both estimates and indicates the range of plausible incremental cost-effectiveness outcomes.
Excel Implementation
| Function | Example Formula | Health Economics Application |
|---|---|---|
| MMULT | =MMULT(MMULT(TRANSPOSE(A1:B1),InverseMatrix),A1:B1) | Calculate the quadratic form used in the Mahalanobis distance. |
| MINVERSE | =MINVERSE(MatrixRange) | Compute the inverse of the variance-covariance matrix. |
| MDETERM | =MDETERM(MatrixRange) | Verify that the variance-covariance matrix is non-singular before inversion. |
| CHISQ.INV.RT | =CHISQ.INV.RT(0.05,2) | Obtain the chi-square critical value defining the 95% confidence ellipse. |
VBA (Optional)
VBA can automate construction and plotting of confidence ellipses from bootstrap or probabilistic sensitivity analysis results.
Sources
- Briggs A, Claxton K, Sculpher M. Decision Modelling for Health Economic Evaluation. Oxford University Press.
- Drummond MF, et al. Methods for the Economic Evaluation of Health Care Programmes. Oxford University Press.
- Efron B, Tibshirani RJ. An Introduction to the Bootstrap.
- NICE. Health Technology Evaluation Manual.
Related Concepts (2)
Library
Publications
1
Statistical Analysis of Cost-Effectiveness Data — Willan & Briggs, 1st Edition ed., 2006 (John Wiley & Sons)
A synthesis of statistical methods for analysing cost-effectiveness data, including net-benefit regression, confidence intervals for the ICER, cost-effectiveness acceptability curves, and covariate adjustment. Part of the Wiley Statistics in Practice series.
BookView source →
Frequently Asked Questions (6)
What is a confidence ellipse?
A graphical region, typically on a cost-effectiveness plane, showing where the true joint value of incremental cost and effect is expected to fall.
Source: Briggs A, Claxton K, Sculpher M. Decision Modelling for Health Economic Evaluation. Oxford University Press; 2006. doi:10.1093/oso/9780198526629.001.0001.
Why is the region for cost and effect an ellipse rather than a rectangle?
Incremental cost and incremental effect are usually correlated, since the same patients and events drive both, so their joint uncertainty is not captured by treating each separately. A confidence ellipse reflects this by tilting and stretching along the direction of their correlation, marking the region where the true joint value is likely to lie. A rectangle formed from each measure's separate interval would wrongly imply they vary independently and would misstate the joint uncertainty. The ellipse's shape encodes the correlation. Briggs and colleagues (2006) describe it.
Source: Briggs et al. 2006
How is a confidence ellipse constructed?
A confidence ellipse is constructed from the estimated means, variances, and covariance of incremental cost and incremental effect, drawing the region that contains a stated proportion, such as ninety-five per cent, of the joint distribution. The ellipse is centred on the point estimate, its axes determined by the variances and its tilt by the correlation between cost and effect. Assuming an approximately bivariate normal joint distribution, the ellipse marks the boundary within which the true joint value is expected to lie with the chosen probability.
Source: O'Brien 1996
Why is a confidence ellipse used on the cost-effectiveness plane?
A confidence ellipse is used on the cost-effectiveness plane because incremental cost and effect are jointly uncertain and correlated, so their uncertainty is best shown as a two-dimensional region rather than separate one-dimensional intervals, which would ignore the correlation and the joint nature of the uncertainty. The ellipse displays where the true incremental cost and effect jointly lie, conveying how the uncertainty spreads across the quadrants of the plane. This gives a fuller picture of the uncertainty in a cost-effectiveness comparison than marginal intervals alone.
Source: O'Brien 1996
How does a confidence ellipse relate to the correlation of cost and effect?
A confidence ellipse reflects the correlation between incremental cost and effect through its orientation: a positive correlation tilts the ellipse so higher costs accompany greater effects, and a negative correlation tilts it the other way, while zero correlation gives axes aligned with the plane. The ellipse's width along each direction reflects the variances. So its shape and tilt encode the joint distribution, and ignoring the correlation, by using separate intervals, would misrepresent the region where the true values jointly lie.
Source: Briggs, Claxton & Sculpher 2006
What are the limitations of a confidence ellipse?
A confidence ellipse typically assumes an approximately bivariate normal joint distribution of incremental cost and effect, which may not hold, especially with skewed costs or small samples, so the elliptical region may misrepresent the true joint uncertainty. It summarises uncertainty at one point in the analysis and does not directly give the probability of cost-effectiveness at a threshold, for which acceptability curves are used. These limitations mean the ellipse is one way to display joint uncertainty, complemented by other representations of decision uncertainty.
Source: Briggs, Claxton & Sculpher 2006
Trust Record
Verified by Dr Darrin Baines
British health economist
Professional identity: darrinbaines.org
Verification date: 24 Oct 2025
Content version: 1.0.0
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- Persistent URI
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- Term code
- HE-EM-UA-012
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