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    <title>topic Re: Calculate median and 95% C.I. for time variables (hr:min:sec) in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657440#M196999</link>
    <description>&lt;P&gt;Quantile Regression and proc univariate can do that.&lt;/P&gt;
&lt;PRE&gt;ods select Quantiles;
proc univariate data=Heights ciquantdf(alpha=.1);
var Height;
run&lt;/PRE&gt;
&lt;P&gt;calling&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 11 Jun 2020 11:25:18 GMT</pubDate>
    <dc:creator>Ksharp</dc:creator>
    <dc:date>2020-06-11T11:25:18Z</dc:date>
    <item>
      <title>Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/656887#M196957</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;How do I analyze the time variable with hour:minute:second? I would like to calculate the median and 95% C.I. for column I (Culture_time), J (Treatment_time) and K (Total_time). Please see attached dataset (Sample1.xlsx).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks very much in advance!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 03:33:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/656887#M196957</guid>
      <dc:creator>Denali</dc:creator>
      <dc:date>2020-06-11T03:33:32Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657256#M196970</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/140136"&gt;@Denali&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can try the below code:&lt;/P&gt;
&lt;P&gt;- First, be sure to correctly import time values in SAS -&amp;gt; apply an informat to be sure that SAS will consider time values as valid one and store them as numbers. You can then apply a format for display&lt;/P&gt;
&lt;P&gt;- To calculate the median, you can use either proc univariate or proc means for example. As the distributions are not normals (cf. requested plots), you cannot calculate a CI95%&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Best,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have;
	infile datalines dlm="09"x;
	/*Apply the informat time10. to ensure SAS consider those values as time values (stored as numeric values)*/
	input Culture_timei:time10.	Treatment_time:time10.	Total_time:time10.;
	/*Apply a format for display so that time value can be 'human-readable' and meaningful*/
	format 	Culture_timei Treatment_time Total_time time10.;
	datalines;
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;
run;

/* Compute summary statistics: median values */

proc univariate data=have plots;
	var Culture_timei Treatment_time Total_time;
	output out=want median=Culture_timei Treatment_time Total_time;
run;

/* Output median values in a dataset with the time format */

data want;
	set want;
	format 	Culture_timei Treatment_time Total_time time10.;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 11 Jun 2020 08:06:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657256#M196970</guid>
      <dc:creator>ed_sas_member</dc:creator>
      <dc:date>2020-06-11T08:06:07Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657440#M196999</link>
      <description>&lt;P&gt;Quantile Regression and proc univariate can do that.&lt;/P&gt;
&lt;PRE&gt;ods select Quantiles;
proc univariate data=Heights ciquantdf(alpha=.1);
var Height;
run&lt;/PRE&gt;
&lt;P&gt;calling&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 11:25:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657440#M196999</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2020-06-11T11:25:18Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657479#M197013</link>
      <description>&lt;P&gt;As KSharp says, you can use the CIPCTLDF option to compute a 95% CI for a percentile. (KSharp's example uses alpha=0.1, which will give 90% CIs.) By default, you will get CIs for the following percentiles: 1, 5, 10, 25, 50, 75, 90, 95, 99&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you need other percentiles, you can follow the examples in this blog post: &lt;A href="https://blogs.sas.com/content/iml/2013/05/06/compute-confidence-intervals-for-percentiles-in-sas.html" target="_self"&gt;"Compute confidence intervals for percentiles in SAS."&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As KSharp mentions, you can also &lt;A href="https://blogs.sas.com/content/iml/2017/02/22/difference-of-medians-sas.html" target="_self"&gt;estimate for quantiles and CIs by using PROC QUANTREG.&amp;nbsp;&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 12:34:39 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657479#M197013</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-06-11T12:34:39Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657501#M197025</link>
      <description>&lt;P&gt;Thank you both for your detailed explainations. I ran proc contents and saw Total_time was in Time8. format. Then I ran the proc univariate with 95% C.I. below.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ods select Quantiles;&lt;BR /&gt;proc univariate data=Sample1 ciquantdf(alpha=.05);&lt;BR /&gt;var Total_time;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;But I don't understand what the units are in the below SAS Output. Are these numbers in second?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;DIV class="branch"&gt;&lt;DIV class="c proctitle"&gt;The UNIVARIATE Procedure&lt;/DIV&gt;&lt;DIV class="c proctitle"&gt;Variable: TOTAL_ Time&lt;/DIV&gt;&lt;DIV class="c proctitle"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV&gt;&lt;TABLE&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD&gt;Quantiles&amp;nbsp;(Definition&amp;nbsp;5)&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;Level&lt;/TD&gt;&lt;TD&gt;Quantile&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;Order Statistics&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;95% Confidence Limits&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;LCL Rank&lt;/TD&gt;&lt;TD&gt;UCL Rank&lt;/TD&gt;&lt;TD&gt;Coverage&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;Distribution Free&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;100% Max&lt;/TD&gt;&lt;TD&gt;1296000&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;99%&lt;/TD&gt;&lt;TD&gt;844560&lt;/TD&gt;&lt;TD&gt;486360&lt;/TD&gt;&lt;TD&gt;1296000&lt;/TD&gt;&lt;TD&gt;157&lt;/TD&gt;&lt;TD&gt;161&lt;/TD&gt;&lt;TD&gt;77.82&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;95%&lt;/TD&gt;&lt;TD&gt;345780&lt;/TD&gt;&lt;TD&gt;328680&lt;/TD&gt;&lt;TD&gt;549420&lt;/TD&gt;&lt;TD&gt;148&lt;/TD&gt;&lt;TD&gt;159&lt;/TD&gt;&lt;TD&gt;95.64&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;90%&lt;/TD&gt;&lt;TD&gt;307380&lt;/TD&gt;&lt;TD&gt;277740&lt;/TD&gt;&lt;TD&gt;345780&lt;/TD&gt;&lt;TD&gt;138&lt;/TD&gt;&lt;TD&gt;153&lt;/TD&gt;&lt;TD&gt;95.26&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;75% Q3&lt;/TD&gt;&lt;TD&gt;231840&lt;/TD&gt;&lt;TD&gt;208140&lt;/TD&gt;&lt;TD&gt;262680&lt;/TD&gt;&lt;TD&gt;111&lt;/TD&gt;&lt;TD&gt;133&lt;/TD&gt;&lt;TD&gt;95.28&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;50% Median&lt;/TD&gt;&lt;TD&gt;150720&lt;/TD&gt;&lt;TD&gt;128940&lt;/TD&gt;&lt;TD&gt;176880&lt;/TD&gt;&lt;TD&gt;69&lt;/TD&gt;&lt;TD&gt;94&lt;/TD&gt;&lt;TD&gt;95.08&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;25% Q1&lt;/TD&gt;&lt;TD&gt;94380&lt;/TD&gt;&lt;TD&gt;62100&lt;/TD&gt;&lt;TD&gt;102420&lt;/TD&gt;&lt;TD&gt;29&lt;/TD&gt;&lt;TD&gt;51&lt;/TD&gt;&lt;TD&gt;95.28&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;10%&lt;/TD&gt;&lt;TD&gt;18780&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;33180&lt;/TD&gt;&lt;TD&gt;9&lt;/TD&gt;&lt;TD&gt;24&lt;/TD&gt;&lt;TD&gt;95.26&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;5%&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;6900&lt;/TD&gt;&lt;TD&gt;3&lt;/TD&gt;&lt;TD&gt;14&lt;/TD&gt;&lt;TD&gt;95.64&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;1%&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;5&lt;/TD&gt;&lt;TD&gt;77.82&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;0% Min&lt;/TD&gt;&lt;TD&gt;0&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;TD&gt;&amp;nbsp;&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;DIV class="branch"&gt;&lt;DIV align="center"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;&lt;P&gt;Thanks again!&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 13:10:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657501#M197025</guid>
      <dc:creator>Denali</dc:creator>
      <dc:date>2020-06-11T13:10:35Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657505#M197028</link>
      <description>&lt;P&gt;Yes. &lt;A href="https://go.documentation.sas.com/?docsetId=leforinforref&amp;amp;docsetTarget=p1en9fg6yuim9an1ex82ckleyxjn.htm&amp;amp;docsetVersion=3.1&amp;amp;locale=en" target="_self"&gt;See the doc for the TIME. informat.&lt;/A&gt; When you use the TIME. informat to read the data, the "&lt;SPAN&gt;value is the total number of seconds in the time value."&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 13:16:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657505#M197028</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-06-11T13:16:08Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657538#M197041</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/292097"&gt;@ed_sas_member&lt;/a&gt;&amp;nbsp;Thank you so much for sharing the code! It worked, but I still need to generate 95% C.I. and export to the "want" dataset. Can we add another code or syntax somewhere?&amp;nbsp; Thanks again!&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 14:23:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657538#M197041</guid>
      <dc:creator>Denali</dc:creator>
      <dc:date>2020-06-11T14:23:17Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657555#M197051</link>
      <description>&lt;P&gt;How do I export the 95% C.I. and convert them into the hr:min:sec format?&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 14:59:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657555#M197051</guid>
      <dc:creator>Denali</dc:creator>
      <dc:date>2020-06-11T14:59:57Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657562#M197054</link>
      <description>&lt;P&gt;You can &lt;A href="https://blogs.sas.com/content/iml/2017/01/09/ods-output-any-statistic.html" target="_self"&gt;use the ODS OUTPUT statement to create a SAS data set from any table&lt;/A&gt;. Then use the FORMAT statement in PROC PRINT:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc univariate data=have cipctldf;
	var Culture_timei Treatment_time Total_time;
	ods output Quantiles=Q;  /* create SAS data set called Q */
run;

proc print data=Q;
format Estimate LCLDistFree UCLDistFree TIME.;
by notsorted VarName;
var Quantile Estimate LCLDistFree UCLDistFree;
run;
&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 11 Jun 2020 15:17:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657562#M197054</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-06-11T15:17:37Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657609#M197082</link>
      <description>&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13684"&gt;@Rick_SAS&lt;/a&gt;&amp;nbsp; I just want to make sure that this code does generate 95% C.I., not 90% CI, right? Thank you so much!&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 17:14:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657609#M197082</guid>
      <dc:creator>Denali</dc:creator>
      <dc:date>2020-06-11T17:14:09Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate median and 95% C.I. for time variables (hr:min:sec)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657630#M197098</link>
      <description>&lt;P&gt;Correct. alpha=0.05 is the default so&lt;/P&gt;
&lt;P&gt;CIPCTLDF;&amp;nbsp; &amp;nbsp;/* default is alpha=0.05 */&lt;/P&gt;
&lt;P&gt;is equivalent to&lt;/P&gt;
&lt;P&gt;CIPCTLDF(alpha=0.05);&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 11 Jun 2020 17:41:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Calculate-median-and-95-C-I-for-time-variables-hr-min-sec/m-p/657630#M197098</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2020-06-11T17:41:13Z</dc:date>
    </item>
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