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Diagnostic Accuracy and Agreement

Bland-Altman Limits of Agreement Sample Size

Calculate the number of paired measurements required to demonstrate agreement between two measurement methods using the Lu et al. noncentral-t method. The design evaluates whether the confidence intervals around the Bland-Altman limits of agreement fall within a prespecified maximum allowable difference.

Study Design

Enter the anticipated difference distribution and the agreement criteria for the paired method-comparison study.

Required Sample Size

The result is the minimum number of subjects, with one pair of measurements per subject, needed to attain the requested power.
Enter the study assumptions and click Calculate Sample Size.

Methodology

The Bland-Altman method evaluates agreement between two measurement methods by forming paired differences. The conventional limits of agreement are the anticipated mean difference plus or minus a normal quantile times the standard deviation of the differences. the sample-size procedure then evaluates whether the confidence intervals around both limits remain within the prespecified agreement boundaries of −δ and δ.

Bland-Altman limits of agreement

LoAlower = D − z1−γ/2 SD
LoAupper = D + z1−γ/2 SD

Here, D is the anticipated mean difference, SD is the anticipated standard deviation of the paired differences, and γ = 1 − the LoA confidence level. For a 95% LoA, the usual multiplier is approximately 1.96.

Confidence intervals for the limits

For a sample of N paired measurements, This calculator uses the Lu et al. formulation. The standard-error term used for the confidence limits is

SE = SD √(1/N + z21−γ/2 / [2(N−1)])

With t denoting the appropriate Student's t critical value, the lower and upper confidence limits around the Bland-Altman limits are formed from the corresponding mean, LoA term, and t × SE.

Power calculation

The power calculation uses the cumulative distribution function of a noncentral Student's t distribution. For a confidence level of 1 − α for the confidence intervals around the LoAs, the two noncentrality parameters are

λ1 = [δ − D − zSD] / [SD √(1/N + z2/(2(N−1)))]

λ2 = [δ + D − zSD] / [SD √(1/N + z2/(2(N−1)))]

The power is calculated as the probability that both confidence limits satisfy the agreement criterion. Equivalently, using the noncentral-t CDF, the this method/Lu formulation is

Power = 1 − NCT(t1−α/2,N−1; N−1, λ1) + NCT(−t1−α/2,N−1; N−1, λ2)

The calculator searches over integer values of N and returns the smallest number of measurement pairs whose calculated power reaches the requested target.

Worked validation example

This worked example uses a 95% confidence level for both the limits of agreement and their confidence intervals, maximum allowable difference δ = 7, anticipated mean difference D = 0.5, and anticipated SD = 2.5. At 80% target power, This yields 60 measurement pairs.

The calculator is initialized with these values. Its independent noncentral-t implementation reproduces the this method example's reported sample-size result of 60 pairs and displays the achieved power at that N.

References

Lu, M.J., Zhong, W.H., Liu, Y.X., Miao, H.Z., Li, Y.C., & Ji, M.H. (2016). Sample Size for Assessing Agreement between Two Methods of Measurement by Bland-Altman Method. The International Journal of Biostatistics, 12(2), Article 20150039. DOI: 10.1515/ijb-2015-0039.

Bland, J.M. & Altman, D.G. (1986). Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. The Lancet, i, 307–310.

the software/this method. Bland-Altman Method for Assessing Agreement in Method Comparison Studies, Chapter 427. the relevant methodological literature identifies the procedure as a sample-size and power calculation based on Lu et al. (2016).