Applying Missing Data Methods to Routine Data Using the Example of a Population-based Register of Patients with Diabetes
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Applying missing data methods to routine data: a prospective, population-based register of people with diabetes
Background Routinely-collected data could be used to make randomised controlled trials (RCTs) more efficient, either for collection of outcome data or to enhance recruitment. The use of routine data in RCTs has been limited by concerns surrounding data quality, particularly missingness. To exploit these information-rich data sources, it is necessary to identify approaches capable of overcoming ...
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تاریخ انتشار 2017