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    <title>topic How to perform MLE for Censored and Truncated Data? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-perform-MLE-for-Censored-and-Truncated-Data/m-p/481659#M25052</link>
    <description>&lt;P&gt;Hi there, I'm new to the forum so feel free to redirect if I should post under a different location.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I understand that the following procedure can be done using PROC SEVERITY, but my company doesn't have a SAS/ETS license, so it would be appreciated if any suggestions can be limited to SAS Studio or Base SAS procedures.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a simple dataset from an insurance company, containing the following claims information:&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Policy Deductible&amp;nbsp;&lt;/LI&gt;&lt;LI&gt;Policy Limit&lt;/LI&gt;&lt;LI&gt;Incurred Loss Amount&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;I would like to fit this data to a few relatively standard distributions (eg. Beta, Gamma, Pareto, Lognormal, Weibull) using Maximum Likelihood Estimation, then compare the fit using Likelihood Ratio Test, SBC, AIC.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The problem is that to my knowledge, PROC UNIVARIATE doesn't easily allow parameter estimation for left truncated (by policy deductible) and right censored (by policy limit) data that I have.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can someone help point me&amp;nbsp;in the direction of how this could be accomplished?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 26 Jul 2018 19:41:01 GMT</pubDate>
    <dc:creator>jonathanjka</dc:creator>
    <dc:date>2018-07-26T19:41:01Z</dc:date>
    <item>
      <title>How to perform MLE for Censored and Truncated Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-perform-MLE-for-Censored-and-Truncated-Data/m-p/481659#M25052</link>
      <description>&lt;P&gt;Hi there, I'm new to the forum so feel free to redirect if I should post under a different location.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I understand that the following procedure can be done using PROC SEVERITY, but my company doesn't have a SAS/ETS license, so it would be appreciated if any suggestions can be limited to SAS Studio or Base SAS procedures.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have a simple dataset from an insurance company, containing the following claims information:&amp;nbsp;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Policy Deductible&amp;nbsp;&lt;/LI&gt;&lt;LI&gt;Policy Limit&lt;/LI&gt;&lt;LI&gt;Incurred Loss Amount&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;I would like to fit this data to a few relatively standard distributions (eg. Beta, Gamma, Pareto, Lognormal, Weibull) using Maximum Likelihood Estimation, then compare the fit using Likelihood Ratio Test, SBC, AIC.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The problem is that to my knowledge, PROC UNIVARIATE doesn't easily allow parameter estimation for left truncated (by policy deductible) and right censored (by policy limit) data that I have.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Can someone help point me&amp;nbsp;in the direction of how this could be accomplished?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 26 Jul 2018 19:41:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-perform-MLE-for-Censored-and-Truncated-Data/m-p/481659#M25052</guid>
      <dc:creator>jonathanjka</dc:creator>
      <dc:date>2018-07-26T19:41:01Z</dc:date>
    </item>
    <item>
      <title>Re: How to perform MLE for Censored and Truncated Data?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/How-to-perform-MLE-for-Censored-and-Truncated-Data/m-p/481665#M25053</link>
      <description>&lt;P&gt;You can&lt;A href="https://blogs.sas.com/content/iml/2017/06/14/maximum-likelihood-estimates-in-sas.html" target="_self"&gt; program the log-likelihood functions in PROC NLMIXED&lt;/A&gt;. Some are distributions you mention are &lt;A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_nlmixed_syntax08.htm" target="_self"&gt;already built into PROC NLMIXED.&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 26 Jul 2018 19:47:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/How-to-perform-MLE-for-Censored-and-Truncated-Data/m-p/481665#M25053</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-07-26T19:47:51Z</dc:date>
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