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Provide confidence intervals in the EMP platform

Hello,

 

I'm currently using the EMP platform from jmp to determine ICC's for: 30 repeated measures, 1 rater, 10 participants.

Is is possible to deduct CI's for the ICC's?

 

Thank you,

 

Sarah

Quality and Process EngineeringRe: Provide confidence intervals in the EMP platform - Status changed to: InvestigatingRe: Provide confidence intervals in the EMP platform

Thank you for the additional information @jszarka . We are reviewing with development. 

Re: Provide confidence intervals in the EMP platform

I believe part of this can be done in JMP Pro if you use the Linear Combination of Variance Components option. It looks like you can use 1-click simulate in the EMP Results option for the MSA results. However, if you had the 1-click bootstrap, this would be the most effective way to easily get the confidence intervals. Perhaps that can be provided as the 'wish list' item?

Re: Provide confidence intervals in the EMP platform - Status changed to: ArchivedWe are archiving this request. If this is still important please comment with additional details and we will reopen. Thank you!Re: Provide confidence intervals in the EMP platform

There are other functions of variance components (some of which may be expressed in terms of standard deviations) that may be nice to have confidence intervals for. The most common one I imagine of interest in addition to the ICC would be the %RR.

 

The Fit Model output for individual variance components as well as the total variance includes confidence intervals. If you had a traditional gauge R&R design with multiple Parts, Operators, and Replicates in a full factorial design, you could fit a mixed model with Part as a fixed effect, Operator, Part*Operator interaction as random effects, which would also put the Replicate (Residual) in the REML output. In that output, you can get the %RR confidence interval.

 

Since ICC is considering the ratio of correlated variance components, it's a little bit more complex. But if it can be reported out, that would be great!