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The danger of using outlier tests with lognormal distributions and the problem of masking which can make it harder to find two outliers than to find one.

https://www.graphpad.com/guides/prism/latest/statistics/

The presence of one or a few outliers might be causing the normality test to fail. Run an outlier test. Consider excluding the outlier(s). •If the departure ...

https://www.graphpad.com/guides/prism/latest/statistics/

Descriptive statistics, detect outlier, t test, CI of mean / difference / ratio / SD, multiple comparisons tests, linear regression. Statistical ...

https://www.graphpad.com/quickcalcs/

Review the principles of nonlinear regression, including comparing models, identifying outliers, global fitting, and more.

https://www.graphpad.com/guides/prism/latest/curve-fitting/

Data exploration and processing. Descriptive statistics · Outlier analysis · Correlation analysis · Bland-Altman analysis · ROC curve analysis · Contingency ...

https://www.graphpad.com/guides/prism/latest/statistics/

Identify any outliers from that curve defined with robust nonlinear regression. Eliminate those outliers, if that was specified. Use the best-fit values of the ...

GraphPad FAQs

Descriptive statistics, detect outlier, t test, CI of mean / difference / ratio / SD, multiple comparisons tests, linear regression.

https://www.graphpad.com/quickcalcs/contmenu/

Instead of manually choosing points to exclude, you can ask Prism to perform outlier elimination. Highlighting values. Select a cell or a range of cells ...

https://www.graphpad.com/guides/prism/latest/user-guide/

•It's sensitive to outliers, as a single outlier can dramatically affect the cluster diameter. •It may not perform well when clusters have very different ...

https://www.graphpad.com/guides/prism/latest/statistics/

Robust regression is less affected by outliers, but it cannot generate confidence intervals for the parameters, so has limited usefulness. Automatic outlier ...

https://www.graphpad.com/guides/prism/7/curve-fitting/