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    <title>All Articles - StatisticsViews</title>
    <link>http://www.statisticsviews.com</link>
    <description>The latest content from StatisticsViews.</description>
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  <item rdf:about="http://www.statisticsviews.com/details/news/4803011/How-did-2012-Olympics-and-Diamond-Jubilee-impact-UK-economy.html">
    <title>How did 2012 Olympics and Diamond Jubilee impact UK economy?</title>
    <link>http://www.statisticsviews.com/details/news/4803011/How-did-2012-Olympics-and-Diamond-Jubilee-impact-UK-economy.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/13ecbe274cd.jpg' border='0' hspace='5' vspace='5' /></td><td valign='top'>The Office for National Statistics has published an article which takes a retrospective look at the Diamond Jubilee and the London 2012 Olympic and Paralympic Games and how they affected the UK economy.</td></table>]]></content:encoded>
    <dc:date>2013-05-22T10:56:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/news/4796411/Statisticians-elected-as-members-of-the-Royal-Society.html">
    <title>Statisticians elected as members of the Royal Society</title>
    <link>http://www.statisticsviews.com/details/news/4796411/Statisticians-elected-as-members-of-the-Royal-Society.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/13ec7289f74.jpg' border='0' hspace='5' vspace='5' /></td><td valign='top'>The Royal Statistical Society has announced that two of their members have been elected members of the Royal Society (RSS News, 14th May 2013).</td></table>]]></content:encoded>
    <dc:date>2013-05-21T12:55:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/feature/4795851/Can-organic-farming-feed-the-world.html">
    <title>Can organic farming feed the world?</title>
    <link>http://www.statisticsviews.com/details/feature/4795851/Can-organic-farming-feed-the-world.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/13ec6a559bf.jpg' border='0' hspace='5' vspace='5' /></td><td valign='top'>Statisticians have devised some powerful and sophisticated methods for unravelling the implications of their datasets and creating order from the messiness of real world complexity. Paradoxically though, these methods are often most effective when applied to the simplest and most specific questions, but can seem powerless in the face of the larger choices confronting public policy. Ask what factors are associated with forage quality in different polycultures of organic permanent pasture and you can do a...</td></table>]]></content:encoded>
    <dc:date>2013-05-21T10:32:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/4798821/Identification-of-significant-features-in-DNA-microarray-data.html">
    <title>Identification of significant features in &lt;fc &gt;DNA&lt;/fc&gt; microarray data</title>
    <link>http://www.statisticsviews.com/details/journalArticle/4798821/Identification-of-significant-features-in-DNA-microarray-data.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>DNA microarrays are a relatively new technology that can simultaneously measure the expression level of thousands of genes.
            They have become an important tool for a wide variety of biological experiments. One of the most common goals of DNA microarray
            experiments is to identify genes associated with biological processes of interest. Conventional statistical tests often produce
            poor results when applied to microarray data owing to small...</td></table>]]></content:encoded>
    <dc:date>2013-05-21T00:00:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/news/4788081/Latest-Tutorial-in-Biostatistics-available-to-read-for-free.html">
    <title>Latest Tutorial in Biostatistics available to read for free</title>
    <link>http://www.statisticsviews.com/details/news/4788081/Latest-Tutorial-in-Biostatistics-available-to-read-for-free.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/13ec192e900.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>A tutorial in biostatistics is now available to download in Early View from Statistics in Medicine, where articles are published online before they are allocated to an issue.</td></table>]]></content:encoded>
    <dc:date>2013-05-20T10:53:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/4792571/Principal-component-analysis-for-bar-charts-and-metabins-tables.html">
    <title>Principal component analysis for bar charts and metabins tables</title>
    <link>http://www.statisticsviews.com/details/journalArticle/4792571/Principal-component-analysis-for-bar-charts-and-metabins-tables.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         In recent years, the analysis of symbolic data where the units are categories, classes, or concepts described by intervals,
            distributions, sets of categories, and the like becomes a challenging task since many application ﬁelds generate complex and
            massive amounts of data that are diﬃcult to analyze with traditional techniques. In this article, we propose a strategy for
            extending standard principal component analysis (PCA)...</td></table>]]></content:encoded>
    <dc:date>2013-05-20T00:00:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/4792561/Flow-field-forecasting-for-univariate-time-series.html">
    <title>Flow field forecasting for univariate time series</title>
    <link>http://www.statisticsviews.com/details/journalArticle/4792561/Flow-field-forecasting-for-univariate-time-series.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         A statistical learning methodology, called ﬂow ﬁeld forecasting, is presented for predicting the future of a univariate time
            series. Flow ﬁeld forecasting draws information from an interpolated ﬂow ﬁeld of the observed time series to incrementally
            build a forecast. The time series need not have uniformly spaced observations. Included in the presentation are measures of
            assessment, a procedure for forecast updating as new...</td></table>]]></content:encoded>
    <dc:date>2013-05-20T00:00:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/4786131/Exact-inference-for-adaptive-group-sequential-designs.html">
    <title>Exact inference for adaptive group sequential designs</title>
    <link>http://www.statisticsviews.com/details/journalArticle/4786131/Exact-inference-for-adaptive-group-sequential-designs.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Methods for controlling the type‐1 error of an adaptive group sequential trial were developed in seminal papers by Cui, Hung,
            and Wang (Biometrics, 1999), Lehmacher and Wassmer (Biometrics, 1999), and Müller and Schäfer (Biometrics, 2001). However,
            corresponding solutions for the equally important and related problem of parameter estimation at the end of the adaptive trial
            have not been completely satisfactory. In this paper, a method is...</td></table>]]></content:encoded>
    <dc:date>2013-05-19T00:00:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/4786141/Rankbased-principal-stratum-sensitivity-analyses.html">
    <title>Rank‐based principal stratum sensitivity analyses</title>
    <link>http://www.statisticsviews.com/details/journalArticle/4786141/Rankbased-principal-stratum-sensitivity-analyses.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>We describe rank‐based approaches to assess principal stratification treatment effects in studies where the outcome of interest
            is only well‐defined in a subgroup selected after randomization. Our methods are sensitivity analyses, in that estimands are
            identified by fixing a parameter and then we investigate the sensitivity of results by varying this parameter over a range
            of plausible values. We present three rank‐based test statistics...</td></table>]]></content:encoded>
    <dc:date>2013-05-19T00:00:00Z</dc:date>
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  <item rdf:about="http://www.statisticsviews.com/details/journalArticle/4786111/Peer-Effects-in-UK-Adolescent-Substance-Use-Never-Mind-the-Classmates.html">
    <title>Peer Effects in UK Adolescent Substance Use: Never Mind the Classmates?</title>
    <link>http://www.statisticsviews.com/details/journalArticle/4786111/Peer-Effects-in-UK-Adolescent-Substance-Use-Never-Mind-the-Classmates.html</link>
    <content:encoded><![CDATA[<table><tr><td><img src='http://www.statisticsviews.com/common/images/thumbnails/no_img.gif' border='0' hspace='5' vspace='5' /></td><td valign='top'>Abstract
      
         This article estimates peer influences on the alcohol, tobacco and cannabis use of UK adolescents. We present evidence of
            large, positive and statistically significant peer effects in all three behaviours when classmates are taken as the reference
            group. We also find large, positive and statistically significant associations between own substance use and friends' substance
            use. When both reference groups are considered...</td></table>]]></content:encoded>
    <dc:date>2013-05-19T00:00:00Z</dc:date>
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