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Statistical Reference Guide
Method comparison
Estimating the bias between methods at a decision level
Estimate the average bias (or average difference) at a decision level using the regression fit.
You must have already completed either of the tasks:
Fitting ordinary linear regression
Fitting Deming regression
Fitting Passing-Bablok regression
Activate the analysis report worksheet.
On the
Analyse-it
ribbon tab,
in the
Method Comparison
group, click
Predict At
.
The analysis task pane shows the
Comparability
task.
In the
Decision level
grid, under the
Id
column, type an identifier for the decision level, and then under the
X
column, type the value of the decision level
Optional:
To test if the two methods are equal at each decision level:
On the
Analyse-it
ribbon tab,
in the
Method Comparison
group, click
Test Equality
.
The analysis task pane shows the
Comparability
task.
To compare the p-value against a predefined significance level, in the
Significance level
edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
Optional:
To test if two methods are practically equivalent at each decision level:
On the
Analyse-it
ribbon tab,
in the
Method Comparison
group, click
Test Equivalence
.
The analysis task pane shows the
Comparability
task.
If the allowable difference is a constant or proportional value across the measuring interval, in the
Allowable difference
group, select
Across measuring interval
, and then in the
Absolute
edit box, type the bias in measurement units, and/or in the
Relative
edit box, type the bias as a percentage (suffix with % symbol).
If the allowable difference varies for each level, in the
Allowable difference
group, select
Each level
and then in the
Decision level
grid, under the
Allowable difference
column, alongside each level, type the absolute bias in measurement units, or the relative bias as a percentage (suffix with % symbol).
To compare the p-value against a predefined significance level, in the
Significance level
edit box, type the maximum probability of rejecting the null hypothesis when in fact it is true (typically 5% or 1%).
Click
Recalculate
.
Related concepts
Average bias
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Distribution
Compare groups
Compare pairs
Contingency tables
Correlation and association
Principal component analysis (PCA)
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Item reliability
Fit model
Method comparison
Correlation coefficient
Scatter plot
Fit Y on X
Fitting ordinary linear regression
Fitting Deming regression
Fitting Passing-Bablok regression
Linearity
Residual plot
Checking the assumptions of the fit
Average bias
Estimating the bias between methods at a decision level
Testing commutability of other materials
Difference plot (Bland-Altman plot)
Fit differences
Plotting a difference plot and estimating the average bias
Limits of agreement (LoA)
Plotting the Bland-Altman limits of agreement
Mountain plot (folded CDF plot)
Plotting a mountain plot
Partitioning and reducing the measuring interval
Agreement measures for binary and semi-quantitative data
Chance corrected agreement measures for binary and semi-quantitative data
Agreement plot
Estimating agreement between two binary or semi-quantitative methods
Study design
Study design for qualitative methods
Measurement systems analysis (MSA)
Reference interval
Diagnostic performance
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 5.65
Published 14-Aug-2020
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