Browsing by Subject "Multiple imputation"
Now showing items 1-5 of 5
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How to handle missing data: A comparison of different approaches
(Routledge Journals, Taylor & Francis Ltd, 2015)Many researchers face the problem of missing data in longitudinal research. Especially, high risk samples are characterized by missing data which can complicate analyses and the interpretation of results. In the current ... -
May Measurement Month 2017: an analysis of blood pressure screening results from the United Kingdom and the Republic of Ireland-Europe
(Oxford Univ Press, 2019)Elevated blood pressure (BP), or hypertension, is a growing burden worldwide, leading to over 10 million deaths each year. May Measurement Month (MMM) is a global initiative aimed at raising awareness of high BP and acting ... -
May Measurement Month 2017: an analysis of blood pressure screening results in South Africa-Sub-Saharan Africa
(Oxford Univ Press, 2019)Elevated blood pressure (BP) is a growing burden worldwide, leading to over 10 million deaths each year. May Measurement Month (MMM) is a global initiative of the International Society of Hypertension (ISH) aimed at raising ... -
Multiple imputation in the presence of a detection limit, with applications : an empirical approach
(2014)Scientists often encounter unobserved or missing measurements that are typically reported as less than a fixed detection limit. This especially occurs in the environmental sciences when detection of low exposures are not ... -
Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation
(Sage, 2014)Most longitudinal studies are plagued by drop-out related to variables at earlier assessments (systematic attrition). Although systematic attrition is often analysed in longitudinal studies, surprisingly few researchers ...