Programming the statistical procedures from SAS

PROC QLIM: generalization to handle observation-by-observation censoring.-

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PROC QLIM: generalization to handle observation-by-observation censoring.-

Hello!

 

I'm practising with SAS University Edition, specifically with the QLIM procedure and I'm curious about how to perform a censored regression with different observation-by-observation censoring, such as is described in the "Details: QLIM procedure>Limited Dependent Variable Models" section of SAS User's Guide.

 

Thanks in advance!


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‎05-02-2017 04:40 PM
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Re: PROC QLIM: generalization to handle observation-by-observation censoring.-


Thanks for your answer!

Reeza wrote:

Is this what you're looking for:

 

http://documentation.sas.com/?docsetId=etsug&docsetVersion=14.2&docsetTarget=etsug_qlim_examples05.h...

 


No. Using this same documentation, I was referring to

 

http://documentation.sas.com/?docsetId=etsug&docsetVersion=14.2&docsetTarget=etsug_qlim_details05.ht...

 

where the censores are at both sides. I think I have found the answer under the Endogenous statement, by using the LB and UB options (I have not tested yet). I will try and I will back!

 

Thanks!

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Re: PROC QLIM: generalization to handle observation-by-observation censoring.-

Is this what you're looking for:

 

http://documentation.sas.com/?docsetId=etsug&docsetVersion=14.2&docsetTarget=etsug_qlim_examples05.h...

 

I'm not sure SAS UE supports QLIM - if you get a procedure not found error that will mean it does not support it. 

Solution
‎05-02-2017 04:40 PM
New Contributor
Posts: 2

Re: PROC QLIM: generalization to handle observation-by-observation censoring.-


Thanks for your answer!

Reeza wrote:

Is this what you're looking for:

 

http://documentation.sas.com/?docsetId=etsug&docsetVersion=14.2&docsetTarget=etsug_qlim_examples05.h...

 


No. Using this same documentation, I was referring to

 

http://documentation.sas.com/?docsetId=etsug&docsetVersion=14.2&docsetTarget=etsug_qlim_details05.ht...

 

where the censores are at both sides. I think I have found the answer under the Endogenous statement, by using the LB and UB options (I have not tested yet). I will try and I will back!

 

Thanks!

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