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Statistical Reference Guide
Measurement systems analysis (MSA)
Detection capability
Estimating the detection limit using a probit fit
Fit a probit regression model to estimate the limit of detection.
Select a cell in the dataset.
On the
Analyse-it
ribbon tab,
in the
Statistical Analyses
group,
click
Fit Model
, and then click
Probit
.
The analysis task pane opens.
In the
Y
drop-down list, select the binary response variable.
In the
Event
drop-down list, select the positive outcome.
In the
X
drop-down list, select the level variable.
Next to the
X
drop-down list, click the drop-down menu, and then in the
Transform
drop-down list, select
Log 10
In the
Plot
drop-down list, select
Scaled - X against Y
.
Clear the
Individual
check box, and select the
Aggregate
check box.
On the
Analyse-it
ribbon tab,
in the
Fit Model
group, click
Predict
, and then click
X given Probability
.
On the analysis task pane, in the
Fit
panel, in the
Predict X given Probability
edit box, type
0.95
Click
Calculate
.
On the analysis report, in the
Predict X for Given Probability
section, the predicted level at 0.95 probability is the limit of detection.
Related concepts
Limit of detection (LoD)
Available in Analyse-it Editions
Method Validation edition
Ultimate edition
What is Analyse-it?
What's new?
Administrator's Guide
User's Guide
Statistical Reference Guide
Distribution
Compare groups
Compare pairs
Contingency tables
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Item reliability
Fit model
Method comparison / Agreement
Measurement systems analysis (MSA)
Precision
Trueness
Detection capability
Limit of blank (LoB)
Limit of detection (LoD)
Estimating the detection limit of a measurement system
Estimating the detection limit using a precision profile
Estimating the detection limit using a probit fit
Limit of quantitation (LoQ)
Study design
Reference interval
Diagnostic performance
Survival/Reliability
Control charts
Process capability
Pareto analysis
Study Designs
Bibliography
Version 6.15
Published 18-Apr-2023
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