This menu allows you to calculate the number of replicates (sample size) or the power required
for Lin's Concordance Coefficient. Lin's concordance correlation coefficient can be used to
assess how well a new method of measurement reproduces the results provided by a standard
method. To do this, you measure the same set of units using the two methods, and calculate
the concordance between the resulting two sets of measurements. The methods are regarded as
equivalent if the coefficient is greater than some threshold.
Calculation
Specifies the calculation to be carried out: Sample size, or Power.
Correlation coefficient
Specifies the correlation for two samples with the smallest amount of non-reproducibility
required to be detected.
Concordance coefficient
Specifies the value of Lin's concordance for two samples with the smallest amount of
non-reproducibility required to be detected.
Value of shift in means
Specifies the value of the shift in means (divided by the harmonic mean of the standard
deviations) for two samples with the smallest amount of non-reproducibility required to
be detected.
Significance level Alpha
Specifies the significance level at which the response is to be tested.
Probability of detection (Power)
For a sample size calculation this specifies the required probability for detection of the
response (that is, the power of the test).
Sample Size
For a power calculation this specifies the sample size to be used to calculate the probability
of detection (power).
Ratio of the standard deviations
Specifies the value of the ratio of the standard deviations for two samples with the
smallest amount of non-reproducibility required to be detected.
Power Plot
When selected, produces a plot of power versus sample size. When Sample Size is selected
for the type of calculation the plot is generated using 11 replication values
centred around the required number of replicates for the requested power. When Power
is selected you can specify a range of sample size values for the plot in the
spaces provided.