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    <title>topic Re: ICLIFETEST with specified distribution? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458178#M23893</link>
    <description>&lt;P&gt;Anything?&amp;nbsp; Anything at all?&lt;/P&gt;</description>
    <pubDate>Fri, 27 Apr 2018 16:22:47 GMT</pubDate>
    <dc:creator>Gomer</dc:creator>
    <dc:date>2018-04-27T16:22:47Z</dc:date>
    <item>
      <title>ICLIFETEST with specified distribution?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/457586#M23864</link>
      <description>&lt;P&gt;Question in brief: can you/ how do you implement fitting alternate distributions in ICLIFETEST, and do I really need to?&amp;nbsp; I ask, because I think the PROC fits an assumed distribution (normal I assume), and I read somewhere--probably for one of the other survival analysis PROCs--that you can specify a distribution to fit your data to.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have left censored data with variable censoring ranges, and none of the whole or the subsets of data I am analyzing can be transformed to provide normality.&amp;nbsp; The data are mostly theoretically ~lognormal, are leptokurtotic, and highly skewed right, but no one transformation can be used on the data set as a whole, hence the nonparametric route.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also, I would like to run the procedure and get an lsmeans/ tukeyHSD type output for multiple comparisons, but have been thwarted since using a BY statement precludes that&amp;nbsp;and has led me to separate analyses to compare years within treatment and treatment within year.&amp;nbsp; I get an F test, but I have to go to PROC GLM (adjust=tukey) to get individual comparisons.&amp;nbsp; And, unfortunately I have unbalanced samples and have to use LSMEANS in GLM, which doesn't allow for a Tukey HSD test.&amp;nbsp; Any solutions that I am overlooking?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here's a piece of my script.&amp;nbsp; It runs w/o errors.&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;title "Survival Analysis Calcium Tiles Test Treatment by Year";
proc iclifetest data=Work.CaTiles method=EMICM plots=survival (failure) plots=logsurv
	impute(seed=0);
	STRATA Year;
	test Treatment / Adjust=Tukey;
   	time (lower,upper);
run;
title "Survival Analysis Calcium Tiles Test Treatment All Years";
proc iclifetest data=Work.CaTiles method=EMICM plots=survival (failure) plots=logsurv
	impute(seed=0);
	test Treatment / Adjust=Tukey;
   	time (lower,upper);
run;

/*SUBSETTING: excludes 2007 data because no ST to compare*/
Data CaRunoffne2007;
set CaRunoff;
where Year ne 2007;
run;
PROC SORT DATA = CaRunoffne2007; 
     BY Year Treatment;
title "Survival Analysis Calcium Runoff Test Treatments by Year";
proc iclifetest data=Work.CaRunoffne2007 method=EMICM plots=survival (failure) impute(seed=0);
	STRATA Year;
	test Treatment / Adjust=Tukey;
   	time (lower,upper);
run;
PROC SORT DATA = CaRunoffne2007; 
     BY Treatment Year;
title "Survival Analysis Calcium Runoff Test Years by Treatment";
proc iclifetest data=Work.CaRunoffne2007 method=EMICM plots=survival (failure) impute(seed=0);
	STRATA Treatment;
	test Year / Adjust=Tukey;
	time (lower,upper);
run;
title "Survival Analysis Calcium Runoff Test Treatments All Years";
proc iclifetest data=Work.CaRunoff method=EMICM plots=survival (failure) plots=logsurv
	impute(seed=0);
	test Treatment / Adjust=Tukey;
   	time (lower,upper);
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 26 Apr 2018 00:08:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/457586#M23864</guid>
      <dc:creator>Gomer</dc:creator>
      <dc:date>2018-04-26T00:08:40Z</dc:date>
    </item>
    <item>
      <title>Re: ICLIFETEST with specified distribution?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458178#M23893</link>
      <description>&lt;P&gt;Anything?&amp;nbsp; Anything at all?&lt;/P&gt;</description>
      <pubDate>Fri, 27 Apr 2018 16:22:47 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458178#M23893</guid>
      <dc:creator>Gomer</dc:creator>
      <dc:date>2018-04-27T16:22:47Z</dc:date>
    </item>
    <item>
      <title>Re: ICLIFETEST with specified distribution?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458219#M23900</link>
      <description>&lt;P&gt;I don't use ICLIFETEST, but &lt;A href="http://go.documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_iclifetest_details01.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en#statug.iclifetest.iclftmultiplecomparisons" target="_self"&gt;the details of the adjustment tests are in the doc.&lt;/A&gt;&amp;nbsp;Although the data themselves&amp;nbsp;might not be normal, in many cases the sampling distribution of the test statistic is known asymptotically. For example,&amp;nbsp;in the GLM/ANOVA situation, the asymptotic distribution of the difference of means is normal (the central limit theorem). I do not know the details for the models in ICLIFETEST.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 27 Apr 2018 19:01:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458219#M23900</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-04-27T19:01:28Z</dc:date>
    </item>
    <item>
      <title>Re: ICLIFETEST with specified distribution?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458609#M23926</link>
      <description>&lt;P&gt;Thanks, Rick.&amp;nbsp; Unfortunately, the explanation in the docs has a bit too much greek for me.&amp;nbsp; The thing with ICLFETEST is that it is using a combination of values and ranges (for censored values) to create a model CDF-like survival curve for each sample/group/treatment, and it is those modeled curves that are then compared.&amp;nbsp; So, my query about specifying a distribution is premised on the assumption that they are fitting a curve to my data with the assumption my data is distributed&amp;nbsp;normally vs. lognormally, which&amp;nbsp;would be more accurate.&amp;nbsp; There might be other options, like ICPHREG....&lt;/P&gt;</description>
      <pubDate>Mon, 30 Apr 2018 12:22:16 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/ICLIFETEST-with-specified-distribution/m-p/458609#M23926</guid>
      <dc:creator>Gomer</dc:creator>
      <dc:date>2018-04-30T12:22:16Z</dc:date>
    </item>
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