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Thread: Data trending and probability claims

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    Data trending and probability claims




    Hello all,

    I have a question which might not have a solution but here goes nothing.

    I need to conduct some testing over a products shelf life to show it stays within its specifications. I want to test 299 parts at t=0 so I can analyze the samples as attribute (pass/fail) and claim a 99/95 probability content and confidence. I want to make similar claims for the next time points over the shelf life (let's say ~4 points) but I don't have enough samples to test 299 at each point. Does anyone know of anyway I could test less samples at future time points using attribute acceptance criteria and still claim the parts have not change considerably? Is there anyway to relate the lower sample size back to the t=0 group to claim a more robust conclusion? Or are there any other tricks people can think of?

    Thanks,
    Bryan

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    Re: Data trending and probability claims

    hi,
    this is really a survival analysis type of problem. Check out the Cox regression for instance, or whatever your platform offers for survival analysis.

    regards

  3. The Following User Says Thank You to rogojel For This Useful Post:

    Brbobo4 (03-11-2017)

  4. #3
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    Re: Data trending and probability claims


    Thanks! I will take a look and do some reading!

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