Non-ignorable missing covariate data in parametric survival analysis
Within any epidemiological study missing data is almost inevitable. This missing data is often ignored; however, unless we can assume quite restrictive mechanisms, this will lead to biased estimates. Our motivation are data collected to study the long-term effect of severity of disability upon survi...
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University of Warwick
2007
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487363 |