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    <title>topic proc logistic - is there a possibility to get a complete cell-structure? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/proc-logistic-is-there-a-possibility-to-get-a-complete-cell/m-p/32183#M1298</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi together,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;i'm using proc logistic to model the probability of closure(0/1) in dependence of severel categorial variables on insurance data.&lt;/P&gt;&lt;P&gt;Due to the effect coding of the categorical variable sas doesn't compute estimates for the reference levels.&lt;/P&gt;&lt;P&gt;Even when using param=glm or the logit glm proc genmod there is still one estimate set to zero.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I know from software tools used in an insurance company that the logit glm there computes factors for all the levels of the categorical variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is there any possibility to get paramter estimates for all categories of the categorical variable?&lt;/P&gt;&lt;P&gt;Is there any possibility to get estimates for all the cells build by the combinations of the categorical variables in SAS ?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If i include main effects only, i easily can compute the estimate of the reference level by using the design matrices.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But when including interactions of categorical variables more estimates are missing due to two reference levels.&lt;/P&gt;&lt;P&gt;I haven't figured out how to compute those missing levels or how to interpret the parameter estimates of interaction terms when using effect coding.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks for your help.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 18 Jan 2012 15:25:46 GMT</pubDate>
    <dc:creator>manito</dc:creator>
    <dc:date>2012-01-18T15:25:46Z</dc:date>
    <item>
      <title>proc logistic - is there a possibility to get a complete cell-structure?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/proc-logistic-is-there-a-possibility-to-get-a-complete-cell/m-p/32183#M1298</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi together,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;i'm using proc logistic to model the probability of closure(0/1) in dependence of severel categorial variables on insurance data.&lt;/P&gt;&lt;P&gt;Due to the effect coding of the categorical variable sas doesn't compute estimates for the reference levels.&lt;/P&gt;&lt;P&gt;Even when using param=glm or the logit glm proc genmod there is still one estimate set to zero.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I know from software tools used in an insurance company that the logit glm there computes factors for all the levels of the categorical variables.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Is there any possibility to get paramter estimates for all categories of the categorical variable?&lt;/P&gt;&lt;P&gt;Is there any possibility to get estimates for all the cells build by the combinations of the categorical variables in SAS ?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If i include main effects only, i easily can compute the estimate of the reference level by using the design matrices.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But when including interactions of categorical variables more estimates are missing due to two reference levels.&lt;/P&gt;&lt;P&gt;I haven't figured out how to compute those missing levels or how to interpret the parameter estimates of interaction terms when using effect coding.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks for your help.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 18 Jan 2012 15:25:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/proc-logistic-is-there-a-possibility-to-get-a-complete-cell/m-p/32183#M1298</guid>
      <dc:creator>manito</dc:creator>
      <dc:date>2012-01-18T15:25:46Z</dc:date>
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