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Linearity assessment
Dear all,
I want to perform a regression for method comparison in laboratory using two types of data :
- Data from a first analyzer in X axis which were performed in 1 run in duplicate (2 values)
- Data from a new analyzer in Y axis which were performed in 2 run in duplicate (4 values)
With regression data, I want then to perform least squares regression, lack of fit test and outlier test. Can anybody help me on this point ?
Thank you for your help
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Re: Linearity assessment
Are you following a protocol such as EP-09 by CLSI?
JMP supports Deming regression and Passing-Bablok regression in Analyze > Fity Y by X (ultimately the Bivariate platform). It also supports the Bland-Altman analysis in Analyze > Specialized > Matched Pairs.
See the Bivariate and Matched Pairs documentation.
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Re: Linearity assessment
Dear Mark,
Thank you for your help.
Are there any tools for helping in data table preparation ? Especially for study including replicates.
Thank you,
Best regards.
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Re: Linearity assessment
What is the question regarding replicates? Replicates appear as additional rows.
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Re: Linearity assessment
I should also mention that the Measurement System Analysis platform offers a lot of capability for comparisons, including bias and linearity. See the MSA documentation.