topic Re: How to control the intercept of logistic regression ... in Statistical Procedures https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160721#M8370 <HTML><HEAD></HEAD><BODY><P>I don't think you want the average parameters to be 0. I think you want param=effect or param=ref.</P></BODY></HTML> Fri, 26 Sep 2014 21:06:52 GMT lvm 2014-09-26T21:06:52Z How to control the intercept of logistic regression ... https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160719#M8368 <HTML><HEAD></HEAD><BODY><P>I am doing a logistic regression across a class variable "state", and the parameter always set the last state, for example, "WY"'s value as 0. I want my sample average parameters across all state to be 0. That means no state's final parameter is 0, but their average is 0. Is there a way to do it? Thanks.</P></BODY></HTML> Thu, 25 Sep 2014 22:50:18 GMT https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160719#M8368 jzhang332002 2014-09-25T22:50:18Z Re: How to control the intercept of logistic regression ... https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160720#M8369 <HTML><HEAD></HEAD><BODY><P>You can use the PARAM= keyword on the CLASS statement to set the parameterization for the classification variables.&nbsp; Here are all the parameterizations: <A href="http://support.sas.com/documentation/cdl/en/statug/66859/HTML/default/viewer.htm#statug_introcom_sect012.htm" title="http://support.sas.com/documentation/cdl/en/statug/66859/HTML/default/viewer.htm#statug_introcom_sect012.htm">SAS/STAT(R) 13.1 User's Guide</A>&nbsp; By default, PROC LOGISTIC uses PARAM=EFFECT. Parameter estimates for the effect coding scheme "estimate the difference in the effect of each nonreference level compared to the average effect over all levels."&nbsp;&nbsp; I am a little confused because it sounds like that is what you want, right? A comparison to the average?</P><P></P><P>Questions like this are best asked in the <A _jive_internal="true" href="https://communities.sas.com/community/support-communities/sas_statistical_procedures">Statistical Procedures Community</A>. Some of the experts there (like <A __default_attr="178104" __jive_macro_name="user" class="jive_macro jive_macro_user" data-objecttype="3" href="https://communities.sas.com/"></A> or <A __default_attr="455729" __jive_macro_name="user" class="jive_macro jive_macro_user" data-objecttype="3" href="https://communities.sas.com/"></A>) would be able to give a more definitive answer.</P></BODY></HTML> Fri, 26 Sep 2014 14:08:58 GMT https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160720#M8369 Rick_SAS 2014-09-26T14:08:58Z Re: How to control the intercept of logistic regression ... https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160721#M8370 <HTML><HEAD></HEAD><BODY><P>I don't think you want the average parameters to be 0. I think you want param=effect or param=ref.</P></BODY></HTML> Fri, 26 Sep 2014 21:06:52 GMT https://communities.sas.com/t5/Statistical-Procedures/How-to-control-the-intercept-of-logistic-regression/m-p/160721#M8370 lvm 2014-09-26T21:06:52Z