Causal survival analysis I with applications in R

<p><strong>Brief:</strong></p>

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<p>Causal survival analysis I with applications in R&nbsp;<br />
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This 3-day course will cover the following areas with applications in R software:&nbsp;</p>

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<li>Basic concepts and key requirements&nbsp;</li>
<li>Non parametric estimators: Kaplan-Meier and Nelson–Aalen estimators.</li>
<li>Non-parametric tests&nbsp;</li>
<li>Semi-parametric models: Cox proportional hazard model&nbsp;</li>
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* &nbsp;A basic working knowledge of R is essential and you should bring your laptop with you&nbsp;<br />
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Target audience:&nbsp;<br />
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Researchers and postgraduate students in clinical research who have interest in applying survival analysis</p>

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<p dir="ltr"><strong>For <a href="https://share.sfda.gov.sa/index.php/apps/forms/s/BjQHXMJ2KbeNeiHJqbF9jm…;

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