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    <title>topic Re: Generate a spline plot in PROC GLIMMIX in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/934909#M46604</link>
    <description>&lt;P&gt;Is there any way to plot spline effects in models built by the PHREG, SURVEYREG and SURVEYLOGISTIC procedure? These are questions troubling me for a long time. The EFFECTPLOT statement in the PLM procedure simply does not work for models built with the three procedures.&lt;/P&gt;</description>
    <pubDate>Sun, 07 Jul 2024 10:46:21 GMT</pubDate>
    <dc:creator>Season</dc:creator>
    <dc:date>2024-07-07T10:46:21Z</dc:date>
    <item>
      <title>Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444361#M23331</link>
      <description>&lt;P&gt;I am&amp;nbsp;using PROC GLIMMIX to fit a generalized linear mixed model with a spline function. The model looks like:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;log(Y) = random intercept + fixed intercept + beta(X1) + f(X2) + offset&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I know that the EFFECT statement can create a spline function in the model, which&amp;nbsp;can be written by&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glimmix;
	class subj
	effect spl = spline(X2);
	model Y =  X1 spl / dist=poisson link=log offset=offset;
	random intercept / subject=subj type=un;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;However, the main problem is that there is no other statement to draw the spline plot in PROC GLIMMIX. I googled the info for a while, and most info points to the following link:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/kb/57/975.html" target="_blank"&gt;http://support.sas.com/kb/57/975.html&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Nonetheless, the spline drawn in the example looks like a predicted spline, which y-axis is not the spline f(x) itself:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="fusion_57975_3_57975fit2.png" style="width: 269px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/19121iEEA083A58BB9C554/image-dimensions/269x201?v=v2" width="269" height="201" role="button" title="fusion_57975_3_57975fit2.png" alt="fusion_57975_3_57975fit2.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;I somewhat knew that the STORE statement and the PROC PLM can generate a plot for the fitted spline, but still haven't figured out how to write the program. Any suggestion is helpful.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 10 Mar 2018 07:18:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444361#M23331</guid>
      <dc:creator>Kabuto</dc:creator>
      <dc:date>2018-03-10T07:18:23Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444612#M23332</link>
      <description>&lt;P&gt;Do you mean that you want a plot of the basis functions for the spline? You can use the OUTDESIGN= option on the PROC GLMMIX statement to output the basis functions. See the example in the section "Write the spline basis functions to a SAS data set" of the article&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2017/04/19/restricted-cubic-splines-sas.html" target="_self"&gt;"Regression with restricted cubic splines in SAS"&amp;nbsp;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 12 Mar 2018 00:38:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444612#M23332</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-03-12T00:38:03Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444873#M23350</link>
      <description>&lt;P&gt;Rick,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I am glad that you can reply my post in person. I did review your blog article before posting my question, but I still cannot figure out how to plot the spline function via the output data generated from OUTDESIGN option. Here is my initial program:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glimmix data=CVD outdesign(names)=SplineBasis;
	class IndCode Criteria;
	effect spl = spline(hour_total);
	model CVD_Sic =  Criteria spl time / dist=poisson link=log offset=log_hire s;
	random intercept / subject=IndCode s type=un;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;The output data set 'SplineBasis' contains several new columns named by _X1 .... _X11 and _Z1. From the X matrix column definitions table, I can know that _X4~_X10 are the values of basis from the spline. However, when opening the output data set, I still have no idea how to draw them in a spline plot because in my understanding each x has only a value of f(x). Here I provide two screenshots from my outputs:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="xmatrix.png" style="width: 121px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/19153iC1A16B7C2D9A7B70/image-dimensions/121x190?v=v2" width="121" height="190" role="button" title="xmatrix.png" alt="xmatrix.png" /&gt;&lt;/span&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="xmatrix2.png" style="width: 548px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/19154iEC65973BE47E86BE/image-size/large?v=v2&amp;amp;px=999" role="button" title="xmatrix2.png" alt="xmatrix2.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I think I have almost reached the final step, but need a further guidance to generate the plot. I also need to draw a 95% CI of the spline. Hopefully you can advise me. Thank you.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 12 Mar 2018 18:27:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444873#M23350</guid>
      <dc:creator>Kabuto</dc:creator>
      <dc:date>2018-03-12T18:27:15Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444903#M23351</link>
      <description>&lt;P&gt;The "ColumnNames" table shows which of the _X variables are associated with the splines. In the example below, it is _X5--_X11, but your values might be different.&amp;nbsp; To see the spline&amp;nbsp;bases, you need to wort the design by the underlying variable (hour_total, in your example).&amp;nbsp; Here's an example that you can copy:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc glimmix data=sashelp.cars outdesign(names)=SplineBasis;
	class Origin;
	effect spl = spline(weight);
	model mpg_city =  origin spl;
   ods select ColumnNames;
run;

proc sort data=SplineBasis 
          out=SplinesOnly(keep=weight _X5--_X11);
by weight;
run;

proc sgplot data=SplinesOnly;
series x=weight y=_X5;
series x=weight y=_X6;
series x=weight y=_X7;
series x=weight y=_X8;
series x=weight y=_X9;
series x=weight y=_X10;
series x=weight y=_X11;
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;If you don't want to use multiple SERIES statements, you can &lt;A href="https://blogs.sas.com/content/iml/2015/02/25/plotting-multiple-series-transforming-data-from-wide-to-long.html" target="_self"&gt;transpose the data from wide to long &lt;/A&gt;and use a single SERIES statement with the GROUP= option.&lt;/P&gt;</description>
      <pubDate>Mon, 12 Mar 2018 19:31:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/444903#M23351</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-03-12T19:31:24Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/445293#M23361</link>
      <description>&lt;P&gt;Rick,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks for your help, even the solution is not what I expect. Your example code&amp;nbsp;generates multiple basis functions in a single plot, but what I need is just a single spline function in the plot. By using&amp;nbsp;R, it looks like:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="example.png" style="width: 324px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/19172i3159E15B6F760EE6/image-dimensions/324x311?v=v2" width="324" height="311" role="button" title="example.png" alt="example.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;(I have transformed the estimated spline into relative risk)&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I guess I can export the design matrix of the spline, and use a matrix multiplication to determine the estimated spline. However, because of the publication issue, I decide to generate this plot in R to complete my manuscript for a journal publication first. Thank you again.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 13 Mar 2018 20:18:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/445293#M23361</guid>
      <dc:creator>Kabuto</dc:creator>
      <dc:date>2018-03-13T20:18:44Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/445313#M23362</link>
      <description>&lt;P&gt;I explicitly asked if you wanted a plot of the basis functions or something&amp;nbsp;else. If you had posted that picture&amp;nbsp;with your initial question, it would have given us something concrete to discuss and work towards.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://go.documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_introcom_sect021.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en" target="_self"&gt;A spline consists of a set of basis functions and parameters&lt;/A&gt; (or parameter estimates), so I assume the graph you show is using the estimated parameters to form the spline. You can do something similar in SAS. I know that&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/16777"&gt;@WarrenKuhfeld&lt;/a&gt;&amp;nbsp;has written a lot about how to evaluate splines from their basis functions. For example, &lt;A href="https://support.sas.com/resources/papers/proceedings13/457-2013.pdf" target="_self"&gt;see his 2013 SGF talk:&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;BTW, If you want a marginal effects plot, you can use the EFFECTPLOT statement as shown in the articles:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2016/06/22/sas-effectplot-statement.html" target="_self"&gt;Use the EFFECTPLOT statement to visualize regression models in SAS&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://blogs.sas.com/content/iml/2017/12/18/visualize-multivariate-regression-models-by-slicing-continuous-variables.html" target="_self"&gt;Visualize multivariate regression models by slicing continuous variables&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 13 Mar 2018 20:56:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/445313#M23362</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-03-13T20:56:12Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/782696#M38440</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;I m also looking for a way to estimate&amp;nbsp;RR from spline with proc Glimmix. Did you find a solution ?&lt;/P&gt;&lt;P&gt;Also, can you explain how did you do with R ?&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;</description>
      <pubDate>Sat, 27 Nov 2021 20:45:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/782696#M38440</guid>
      <dc:creator>fifi75</dc:creator>
      <dc:date>2021-11-27T20:45:50Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/782707#M38441</link>
      <description>&lt;P&gt;I still haven't figured out how to do that in GLIMMIX in these years. In R, if you use the mgcv package, you need to use the &lt;EM&gt;predict&lt;/EM&gt; function to save the estimates of a spline as a new R object, and exponentiate the R object to compute the relative risks. For the other R packages, I have no idea.&lt;/P&gt;</description>
      <pubDate>Sun, 28 Nov 2021 00:31:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/782707#M38441</guid>
      <dc:creator>Kabuto</dc:creator>
      <dc:date>2021-11-28T00:31:28Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783818#M38491</link>
      <description>&lt;P&gt;ep=exp(p);&lt;BR /&gt;elower=exp(lower);&lt;BR /&gt;eupper=exp(upper);&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Does ep output "odds" or " odds ratio"?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 03 Dec 2021 02:22:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783818#M38491</guid>
      <dc:creator>April2211</dc:creator>
      <dc:date>2021-12-03T02:22:23Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783868#M38492</link>
      <description>What's 'p' in your code ?&lt;BR /&gt;Thanks</description>
      <pubDate>Fri, 03 Dec 2021 09:56:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783868#M38492</guid>
      <dc:creator>fifi75</dc:creator>
      <dc:date>2021-12-03T09:56:06Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783967#M38493</link>
      <description>&lt;LI-CODE lang="sas"&gt;proc glimmix data=simulation() method=laplace;
class strata;
  effect myspline=spline(t/knotmethod=list(1,3,5,7,9) NATURALCUBIC);
  model y(event="1")= intercept*myspline gender*t gender*myspline/dist=binary link=logit noint ;
  random strata;
  store mystore;
run;

*generate with values for t - this will be used drawing the spline;
data template;
intercept=0;
do gender=1;
  do t=0 to 10 by 0.01;
    output;
  end;
  end;
run;

*calculate the predicated values for each value of t;
proc plm restore=mystore;
  score data=template out=plot predicted=predicted lclm=lclm uclm=uclm;
run;


data plot;
  set plot;
  by t;
  *transform to oddsratio scale;
  oddsratio=exp(predicted);
  upper=exp(uclm);
  lower=exp(lclm);

'p' means 'predicted'
but how can I get odds ratio with more than one covariates&lt;/LI-CODE&gt;</description>
      <pubDate>Fri, 03 Dec 2021 17:21:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783967#M38493</guid>
      <dc:creator>April2211</dc:creator>
      <dc:date>2021-12-03T17:21:24Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783968#M38494</link>
      <description>&lt;P&gt;"p" is "predicted"&lt;/P&gt;</description>
      <pubDate>Fri, 03 Dec 2021 17:24:49 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/783968#M38494</guid>
      <dc:creator>April2211</dc:creator>
      <dc:date>2021-12-03T17:24:49Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/784566#M38515</link>
      <description>&lt;P&gt;Hi&lt;/P&gt;&lt;P&gt;you can't introduce in the same model the spline effect and the variable itself .&lt;/P&gt;&lt;PRE class=""&gt;&lt;CODE&gt;model y(event="1")= intercept*myspline gender*t gender*myspline&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 07 Dec 2021 16:43:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/784566#M38515</guid>
      <dc:creator>fifi75</dc:creator>
      <dc:date>2021-12-07T16:43:35Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/784586#M38516</link>
      <description>&lt;P&gt;Furthermore, the spline effect includes the identity function (t) as one of the basis elements, so it is already included in the model.&lt;/P&gt;</description>
      <pubDate>Tue, 07 Dec 2021 18:08:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/784586#M38516</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2021-12-07T18:08:56Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926262#M46065</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm facing the same question to generate the spline plot and I cannot draw it in SAS. I wondering if you are willing to share your R code to get this plot?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Many thanks!&lt;/P&gt;</description>
      <pubDate>Mon, 29 Apr 2024 07:54:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926262#M46065</guid>
      <dc:creator>Amber_G</dc:creator>
      <dc:date>2024-04-29T07:54:03Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926270#M46066</link>
      <description>&lt;P&gt;Please start a NEW thread that describes your problem and what you want to do. If you have example data or a sketch of the graph you want to produce, please include that information as well.&lt;/P&gt;</description>
      <pubDate>Mon, 29 Apr 2024 10:07:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926270#M46066</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2024-04-29T10:07:08Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926331#M46077</link>
      <description>&lt;P&gt;Wow... I wish I could help. You replied to my question that I posted six years ago, and I have forgotten how I may (or may not) resolve this issue. It is better that you post a new thread and disclose details of your questions. Hopefully, someone else can assist you.&lt;/P&gt;</description>
      <pubDate>Mon, 29 Apr 2024 16:15:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926331#M46077</guid>
      <dc:creator>Kabuto</dc:creator>
      <dc:date>2024-04-29T16:15:30Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926402#M46081</link>
      <description>I think you could use ESTIMATE to get RR and its CI ,after that polt it to get the graph you want.&lt;BR /&gt;&lt;BR /&gt;&lt;A href="http://support.sas.com/kb/24/188.html" target="_blank"&gt;http://support.sas.com/kb/24/188.html&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;</description>
      <pubDate>Tue, 30 Apr 2024 02:40:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926402#M46081</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2024-04-30T02:40:19Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926698#M46086</link>
      <description>&lt;P&gt;I'm just now seeing this issue. See &lt;A href="http://support.sas.com/kb/70221" target="_self"&gt;this note&lt;/A&gt; that I added recently that shows how you can estimate and plot odds ratios, risk differences, or relative risks (risk ratios), as they change over a continuous, spline-smoothed predictor.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 01 May 2024 21:57:56 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/926698#M46086</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2024-05-01T21:57:56Z</dc:date>
    </item>
    <item>
      <title>Re: Generate a spline plot in PROC GLIMMIX</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/934909#M46604</link>
      <description>&lt;P&gt;Is there any way to plot spline effects in models built by the PHREG, SURVEYREG and SURVEYLOGISTIC procedure? These are questions troubling me for a long time. The EFFECTPLOT statement in the PLM procedure simply does not work for models built with the three procedures.&lt;/P&gt;</description>
      <pubDate>Sun, 07 Jul 2024 10:46:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Generate-a-spline-plot-in-PROC-GLIMMIX/m-p/934909#M46604</guid>
      <dc:creator>Season</dc:creator>
      <dc:date>2024-07-07T10:46:21Z</dc:date>
    </item>
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