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    <title>Observational Studies on Test Science Research Document Library</title>
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      <title>Introduction to Observational Studies</title>
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      <description> A presentation on the theory and practice of observational studies. Specific average treatment effect methods include matching, difference-in-difference estimators, and instrumental variables.
Suggested Citation Thomas, Dean, and Yevgeniya K Pinelis. Introduction to Observational Studies. IDA Document NS D-9020. Alexandria, VA: Institute for Defense Analyses, 2018.
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<p>A presentation on the theory and practice of observational studies.  Specific average treatment effect methods include matching, difference-in-difference estimators, and instrumental variables.</p>
<h4 id="suggested-citation">Suggested Citation</h4>
<blockquote>
<p>Thomas, Dean, and Yevgeniya K Pinelis. Introduction to Observational Studies. IDA Document NS D-9020. Alexandria, VA: Institute for Defense Analyses, 2018.</p>
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<h4 id="slides">Slides:</h4>
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      <title>Scientific Test and Analysis Techniques</title>
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      <pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate>
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      <description>Abstract This document contains the technical content for the Scientific Test and Analysis Techniques (STAT) in Test and Evaluation (T&amp;amp;E) continuous learning module. The module provides a basic understanding of STAT in T&amp;amp;E. Topics coverec include design of experiments, observational studies, survey design and analysis, and statistical analysis. It is designed as a four hour online course, suitable for inclusion in the DAU T&amp;amp;E certification curriculum.
Slides </description>
      <content:encoded><![CDATA[<h3 id="abstract">Abstract</h3>
<p>This document contains the technical content for the Scientific Test and Analysis Techniques (STAT) in Test and Evaluation (T&amp;E) continuous learning module. The module provides a basic understanding of STAT in T&amp;E. Topics coverec include design of experiments, observational studies, survey design and analysis, and statistical analysis. It is designed as a four hour online course, suitable for inclusion in the DAU T&amp;E certification curriculum.</p>
<h3 id="slides-hahahugoshortcode75s0hbhb">Slides <embed src= "slides.pdf" width= "100%" height= "700px" type="application/pdf" >
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      <title>Scientific Test and Analysis Techniques- Continuous Learning Module</title>
      <link>https://research.testscience.org/post/2018-scientific-test-and-analysis-techniques-continuous-learning-module/</link>
      <pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate>
      <guid>https://research.testscience.org/post/2018-scientific-test-and-analysis-techniques-continuous-learning-module/</guid>
      <description>This document contains the technical content for the Scientific Test and Analysis Techniques (STAT) in Test and Evaluation (T&amp;amp;E) continuous learning module. The module provides a basic understanding of STAT in T&amp;amp;E. Topics covered include design of experiments, observational studies, survey design and analysis, and statistical analysis. It is designed as a four hour online course, suitable for inclusion in the DAU T&amp;amp;E certification curriculum.
Suggested Citation Pinelis, Yevgeniya, Laura J Freeman, Heather M Wojton, Denise J Edwards, Stephanie T Lane, and James R Simpson.</description>
      <content:encoded><![CDATA[<p>This document contains the technical content for the Scientific Test and Analysis Techniques (STAT) in Test and Evaluation (T&amp;E) continuous learning module. The module provides a basic understanding of STAT in T&amp;E. Topics covered include design of experiments, observational studies, survey design and analysis, and statistical analysis. It is designed as a four hour online course, suitable for inclusion in the DAU T&amp;E certification curriculum.</p>
<h4 id="suggested-citation">Suggested Citation</h4>
<blockquote>
<p>Pinelis, Yevgeniya, Laura J Freeman, Heather M Wojton, Denise J Edwards, Stephanie T Lane, and James R Simpson. Scientific Test and Analysis Techniques: Continuous Learning Module. IDA  Document NS D-892. Alexandria, VA: Institute for Defense Analyses, 2018.</p>
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