https://community.jmp.com/t5/Discussions/Life-and-Survival-dataset/m-p/668185#M85631 <P>Answer should depend on the details of your data and objectives.</P> <P>Here is one scenario:</P> <P>If your data is like what are in this example: <A href="https://www.jmp.com/support/help/en/17.1/?os=win&amp;source=application#page/jmp/example-of-the-life-distribution-platform.shtml#" target="_self">Example of the Life Distribution Platform</A> and the objective is to estimate failure probability like in the example, excluding products that have not failed will severely mislead you.</P> <P>&nbsp;</P> Tue, 15 Aug 2023 13:07:25 GMT peng_liu 2023-08-15T13:07:25Z https://community.jmp.com/t5/Discussions/Life-and-Survival-dataset/m-p/667094#M85512 <P>I am looking at a component within our product that is on 10000+ products in the field. Should I only be looking at failures? I have the ability to include all the products that have never had this component fail. Is it best to include those in the dataset, or should I only be looking at failures?</P> Wed, 09 Aug 2023 19:15:20 GMT https://community.jmp.com/t5/Discussions/Life-and-Survival-dataset/m-p/667094#M85512 TDun 2023-08-09T19:15:20Z https://community.jmp.com/t5/Discussions/Life-and-Survival-dataset/m-p/668185#M85631 <P>Answer should depend on the details of your data and objectives.</P> <P>Here is one scenario:</P> <P>If your data is like what are in this example: <A href="https://www.jmp.com/support/help/en/17.1/?os=win&amp;source=application#page/jmp/example-of-the-life-distribution-platform.shtml#" target="_self">Example of the Life Distribution Platform</A> and the objective is to estimate failure probability like in the example, excluding products that have not failed will severely mislead you.</P> <P>&nbsp;</P> Tue, 15 Aug 2023 13:07:25 GMT https://community.jmp.com/t5/Discussions/Life-and-Survival-dataset/m-p/668185#M85631 peng_liu 2023-08-15T13:07:25Z