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• Firth-bias adjusted estimates

  I am running some choice models in JMP. I am using the one-table method rather than the method with the separate profile, response, and subject tables. When I run my model with the Firth bias adjusted estimates box checked, the model fails with the note "cannot calculate objective at starting value." When I uncheck the Firth box, the model runs and I get output that appears reasonable. Couple ques...

  

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  Mar 25, 2011 8:12 AM

  2858 views | 0 replies

• Invitation: SAS-L/sasCommunity.org/SAS Discussion Forums' Meetup at SGF2011

  You are invited to attend the combined SAS-L/sasCommunity.org/SAS Disscussion Forums' Meetup at SGF2011.
  
  You can find the announcement and details at: http://www.sascommunity.org/wiki/Invitation:_SAS-L/sasCommunity.org/SAS_Discussion_Forums%27_Meetup_at_SAS_Global_Forum_2011_in_Las_Vegas
  
  or, in tiny form: http://tiny.cc/5efml

  

  Discussions |

  Mar 12, 2011 3:46 PM

  2123 views | 0 replies

• SAS / JMP graphs

  Hello,
  
  I am working on some Clinical data , in summary data looks like
  Drug , Condition Score Method
  ==============================================================
  7011 9011 1.375171937 A
  7012 9012 1.2849949645 A
  7013 9013 0.8529674171 A
  For a Drug there can be multiple condition, One condition could through one or more than one drug,
  These results...

  

  Discussions |

  Jan 12, 2011 2:56 PM

  2231 views | 0 replies

• Mixed effects Models (REML) in JMP-understanding the denominator DF

  I am attempting to run mixed effects models (using the REML method) in the fit model platform in JMP 8.0.1. I have two random factors and two fixed factors. I have run the same model for two different response variables (so the structure, number of reps etc is identical) and am puzzled by the fact that the reported denominator DF in my fixed factor effect test report is not the same for both mo...

  

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  Aug 20, 2010 8:56 AM

  2888 views | 0 replies

• Help for an experimentalist

  Is there a straightforward way to run a simple analysis of covariance, and receive the ANOVA table as output?
  
  How about any estimate of effect size, such as Cohen's d, Eta-squared, or Omega-squared?
  
  Any way to receive actual group means instead of least squares means in the post-hoc analyses? (see: http://onbiostatistics.blogspot.com/2009/04/least-squares-means-marginal-means-vs.html)

  

  Discussions |

  Jul 30, 2010 10:53 AM

  2437 views | 0 replies