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    <title>topic Re: Building a sequential (hierarchical) model in surveylogistic? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Building-a-sequential-hierarchical-model-in-surveylogistic/m-p/422156#M22236</link>
    <description>As a follow up, after doing additional research I now seem to understand that adding my covariates and predictors into the model all at once will indeed "control for" the covariates. So the more specific problem I now have is that I would still like to get a p value and R2 for the separate parts of my model,&lt;BR /&gt;if possible. For example, in the past I have been able to use SPSS to get a change in R2 for the second set of variables and a p value associated with it.</description>
    <pubDate>Mon, 18 Dec 2017 22:41:30 GMT</pubDate>
    <dc:creator>psyscience</dc:creator>
    <dc:date>2017-12-18T22:41:30Z</dc:date>
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      <title>Building a sequential (hierarchical) model in surveylogistic?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Building-a-sequential-hierarchical-model-in-surveylogistic/m-p/421904#M22201</link>
      <description>&lt;P&gt;Hi, I have been using proc surveylogistic to analyze a binary outcome variable in a public dataset which requires sample weights. My syntax runs fine when I incorporate the weights and add my variables to the model. However, I actually wanted to build a sequential (hierarchical) model by which I first added covariates, then added my predictor in a second step to see what it adds to the model (in terms of R2) over and above the covariates. The way my model stands now I just see their effect all together which is not good from my theoretical standpoint.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;After reading through the website, I see that proc logistic has an option / SEQ for accomplishing this type of model; however, I cannot use proc logistic because of my need for weighting.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is there a way to conduct&amp;nbsp;a sequential logistic regression&amp;nbsp;using surveylogistic?&amp;nbsp;My only thought is to run separate regressions and just note the change in R2. But as a student, who is very new to statistics and to SAS, I don't know if this is proper to do? Are there other suggestions? Forgive me if the answer is obvious! TYIA.&lt;/P&gt;</description>
      <pubDate>Mon, 18 Dec 2017 04:37:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Building-a-sequential-hierarchical-model-in-surveylogistic/m-p/421904#M22201</guid>
      <dc:creator>psyscience</dc:creator>
      <dc:date>2017-12-18T04:37:30Z</dc:date>
    </item>
    <item>
      <title>Re: Building a sequential (hierarchical) model in surveylogistic?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Building-a-sequential-hierarchical-model-in-surveylogistic/m-p/422156#M22236</link>
      <description>As a follow up, after doing additional research I now seem to understand that adding my covariates and predictors into the model all at once will indeed "control for" the covariates. So the more specific problem I now have is that I would still like to get a p value and R2 for the separate parts of my model,&lt;BR /&gt;if possible. For example, in the past I have been able to use SPSS to get a change in R2 for the second set of variables and a p value associated with it.</description>
      <pubDate>Mon, 18 Dec 2017 22:41:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Building-a-sequential-hierarchical-model-in-surveylogistic/m-p/422156#M22236</guid>
      <dc:creator>psyscience</dc:creator>
      <dc:date>2017-12-18T22:41:30Z</dc:date>
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