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		<title>New Evidence Map Shows How Statisticians Rescue Meta-Analyses Starved of Data</title>
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		<pubDate>Thu, 08 Oct 2026 23:36:43 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Bayesian methods]]></category>
		<category><![CDATA[evidence synthesis]]></category>
		<category><![CDATA[exchangeability]]></category>
		<category><![CDATA[health technology assessment]]></category>
		<category><![CDATA[information sharing]]></category>
		<category><![CDATA[Meta-analysis]]></category>
		<category><![CDATA[multivariate models]]></category>
		<category><![CDATA[Network Meta-Analysis]]></category>
		<category><![CDATA[Oncology]]></category>
		<category><![CDATA[power priors]]></category>
		<category><![CDATA[scoping review]]></category>
		<category><![CDATA[sparse evidence]]></category>
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					<description><![CDATA[A scoping review of 140 reports maps the statistical information-sharing methods that let meta-analysts borrow strength across sparse evidence, offering health technology assessment bodies a structured route from clinical data problems to candidate analytical solutions.]]></description>
		
		
		
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