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<title>Volume 10, Issue 1 (2020) | Current Research in Biostatistics</title>
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    <title><![CDATA[Comparison of Probit and Logistic Regression Models in the Analysis of Dichotomous Outcomes]]></title>
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        <![CDATA[<p>Current Research in Biostatistics, Published online: 26 March 2020; <a href="https://thescipub.com/crbs/amjbsp.2020.1.19">doi:10.3844/amjbsp.2020.1.19</a></p>Probit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variable...]]></content:encoded>
    <dc:title><![CDATA[Comparison of Probit and Logistic Regression Models in the Analysis of Dichotomous Outcomes]]></dc:title><dc:creator>Amrutha  Jose</dc:creator><dc:creator>Mariyamma  Philip</dc:creator><dc:creator>Lavanya Tumkur Prasanna</dc:creator><dc:creator>M.  Manjula</dc:creator><dc:identifier>doi:10.3844/amjbsp.2020.1.19</dc:identifier>
    <dc:source>Current Research in Biostatistics, Published online: 2020-03-26; | doi:10.3844/amjbsp.2020.1.19</dc:source>
    <dc:date>2020-03-26</dc:date>
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    <title><![CDATA[Application of a Beta Regression Model for Covariate Adjusted ROC]]></title>
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        <![CDATA[<p>Current Research in Biostatistics, Published online: 18 June 2020; <a href="https://thescipub.com/crbs/amjbsp.2020.20.24">doi:10.3844/amjbsp.2020.20.24</a></p>The Receiver Operating Characteristic (ROC) curve and the area under the ROC (AUC) are widely used in determining the diagnostic capability of a binary classification procedure. Since the test perform...]]></content:encoded>
    <dc:title><![CDATA[Application of a Beta Regression Model for Covariate Adjusted ROC]]></dc:title><dc:creator>Xing  Meng</dc:creator><dc:creator>J.D.  Tubbs</dc:creator><dc:identifier>doi:10.3844/amjbsp.2020.20.24</dc:identifier>
    <dc:source>Current Research in Biostatistics, Published online: 2020-06-18; | doi:10.3844/amjbsp.2020.20.24</dc:source>
    <dc:date>2020-06-18</dc:date>
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