Multiple imputation: dealing with missing data
نویسندگان
چکیده
منابع مشابه
Multiple imputation: dealing with missing data.
In many fields, including the field of nephrology, missing data are unfortunately an unavoidable problem in clinical/epidemiological research. The most common methods for dealing with missing data are complete case analysis-excluding patients with missing data--mean substitution--replacing missing values of a variable with the average of known values for that variable-and last observation carri...
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Rough sets methodology is a useful tool for analysis of decision problems concerning a set of objects described in a data table by a set of condition attributes and by a set of decision attributes. In practical applications, however, the data table is often not complete because some data are missing. To deal with this case, we propose an extension of the rough set methodology to the analysis of...
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ژورنال
عنوان ژورنال: Nephrology Dialysis Transplantation
سال: 2013
ISSN: 0931-0509,1460-2385
DOI: 10.1093/ndt/gft221