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Latest Discussions

• How do I get adjusted Relative Risk Ratios with confidence intervals, versus aORs with nominal logistic regression?

  I'm using JMP 17.2, standard version, and routinely perform nominal log reg.  There has been a shift in my field to reporting RR instead of OR.  I can obtain an unadjusted RR easily - but can't find how to obtain an aRR, including CI.  I do not write code - I'm hoping there's a simple solution.  It seems this isn't a new problem in stats:
  Robbins AS, Chao SY, Fonseca VP. What's the relative risk? A...

  Dean_Mo

  Discussions |

  Apr 30, 2024 10:08 AM

  1352 views | 1 replies

• Multi component, multi supplier and multi concentration DoE design

  I am trying to create a DoE design in which I have 3 supplement types and each supplement have 3 different suppliers. I would like to test more than 3 concentrations for each supplement. So I would need to use discrete numeric design, however this would mean that JMP's suggestion on the ideal concentration wouldn't be outside of these predetermined numbers. Another issue I seem to be facing with i...

  Moses8

  Discussions |

  Apr 30, 2024 9:54 AM

  1379 views | 4 replies

• How to get get text output from Run Program () into a data table?

  I use an executable which pulls data from the database, does some data manipulation and makes manipulated data available to the end user. I would like to call this executable from within JMP and get the data into a data table. The following script example generates the data as text in the log. How do I get this text into a data table with the top row as column headers?Names Default To Here (1); Cl...

  Neo

  Discussions |

  Apr 30, 2024 7:29 AM

  1009 views | 2 replies

• Supress the effect of outliers when fitting the model and in predictions

  I assume  that studentized residual is a good way to identify the ouliers.( Please correct me if i am wrong). And my question is how to filter out the  the effect of these outliers in JMP prediction model? Will the model automatical avoid these outliers or should we delete them to get more accurate prediction ? 

  Mathej01

  Discussions |

  Apr 30, 2024 6:02 AM

  2515 views | 4 replies

• Model Screening: Neural network / K-fold crossvalidation

  I need to use model screening to fit a model by Neural network. the default setup for NN is 3TanH. but when I change setup in model launch ( For example: 1TanH 1 Linear 1 Gaussian), it shows me an alert: " Note: The data table has changed. The output no longer represents the data. TO synchronize the output with the data, select "sync to data table changes" from the platform menu."How can I change ...

  Nimaxim

  Discussions |

  Apr 30, 2024 2:28 AM

  1429 views | 2 replies