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Amitesh Kumar
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Amitesh Kumar's Discussions

Logistic regression intercept term not significant

Started this discussion. Last reply by Roque Graciani Oct 5, 2014. 4 Replies

Hipresently m building a short stay model for inpatient claims....the dependent variables for the same is defined as the claims for which we recovered amount(that claim can be a waste/fraud claim) by…Continue

outlier detection using cluster analysis

Started this discussion. Last reply by Patrick Maroney Jul 12, 2013. 2 Replies

Hi Presently we are working on building outlier detection model using SAS.As I don't have much experience I don't now how to go ahead in this. I have few ideas like cluster analysis...can u please…Continue

 

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Latest Activity

Roque Graciani replied to Amitesh Kumar's discussion Logistic regression intercept term not significant
"I may be late to providing a course of action, but I agree with Sagar, cross-validation is probably the best approach, build your model with about 90 percent of your observations and use the model to predict the other 10 percent with and without the…"
Oct 5, 2014
Yuecai Zhu replied to Amitesh Kumar's discussion Logistic regression intercept term not significant
"In my opinion, intercept means unknown factors and error when estimating coefficients in the linear phase . This may be caused by the noise in your training data set if it is mainly error. I think you can try to clean the data and try to add more…"
Oct 2, 2014
Sagar Diwakar Uparkar replied to Amitesh Kumar's discussion Logistic regression intercept term not significant
"Hi Amitesh, Good evening. In my opinion it is everyone's own judgement. In this case, try model with and without intercept. The model which will predict more accurate, select that one. It is not mandatory to include intercept. Warm…"
Sep 23, 2014
Ralph Winters replied to Amitesh Kumar's discussion Logistic regression intercept term not significant
"You should always include the intercept.  The intercept is just an error term and generally means nothing.  All the model is saying is that the intercept happens to be close to zero, but that's it.  You can safely ignore the…"
Sep 19, 2014
Amitesh Kumar's discussion was featured

Logistic regression intercept term not significant

Hipresently m building a short stay model for inpatient claims....the dependent variables for the same is defined as the claims for which we recovered amount(that claim can be a waste/fraud claim) by conducting manual audit last year.Though C stats and other stats are good for the model but the problem starts when i look onto significance of intercept term which  is as below:ParameterDFEstimateStandardWaldPr > ChiSqErrorChi-SquareIntercept1-0.01650.07280.05140.8206 M not sure what to…See More
Sep 10, 2014
Amitesh Kumar posted a discussion

Logistic regression intercept term not significant

Hipresently m building a short stay model for inpatient claims....the dependent variables for the same is defined as the claims for which we recovered amount(that claim can be a waste/fraud claim) by conducting manual audit last year.Though C stats and other stats are good for the model but the problem starts when i look onto significance of intercept term which  is as below:ParameterDFEstimateStandardWaldPr > ChiSqErrorChi-SquareIntercept1-0.01650.07280.05140.8206 M not sure what to…See More
Sep 8, 2014
Patrick Maroney replied to Amitesh Kumar's discussion outlier detection using cluster analysis
"There was a good discussion on Outlier topics on LinkedIn: https://www.linkedin.com/groups?home=&gid=35222 http://lnkd.in/UYmmYz"
Jul 12, 2013
Matthew Zack replied to Amitesh Kumar's discussion outlier detection using cluster analysis
"The definition of an outlier depends on the model you assume underlies your data:  Outliers under one model may not be outliers under another.   In SAS, a quick-and-dirty approach to outliers using cluster analysis is PROC FASTCLUS. …"
Jul 11, 2013
Amitesh Kumar posted a discussion

outlier detection using cluster analysis

Hi Presently we are working on building outlier detection model using SAS.As I don't have much experience I don't now how to go ahead in this. I have few ideas like cluster analysis...can u please suggest any method or procedure that we can adopt to build this model or any stuff that I can read..Again today I read one interesting article based upon outlier detection…See More
Jul 9, 2013

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My Website or LinkedIn Profile (URL):
http://www.linkedin.com/home?trk=hb_tab_home
Field of Expertise:
Predictive Modeling, Quant, Econometrics, Statistical Consulting
Years of Experience in Analytical Role:
6 months
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Interests:
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