Web23 aug. 2012 · But if you need to manipulate the data in a way mi can't do for you, then you'll need to learn about the details of the structure you're using. You'll also ... There is … WebChapters 5 and 10 of Little and Rubin (2024) provide comprehensive documentation on creating multiple imputations and combining the statistical inference for each of the imputed data sets. Both ML and MI have been implemented in common statistical software applications such as Stata ( StataCorp 2013 ), SAS ( Yuan 2010 ), S-PLUS ( Schimert et …
How many imputations are needed for multiple imputation?
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Why You Probably Need More Imputations Than You Think
Web29 jun. 2016 · Following Little (1986), the degrees of freedom for a t test using standard errors derived from multiple imputations are based on a Satterthwaite approximation (Rubin and Schenker 1986): df=[1+(I+1/I) (S 2 w/S 2 b)] 2 [I-1], where I = the number of imputed values per missing observation (here, I = 5), S 2 w = mean variance of bs within … Web13 jan. 2013 · First, multiple imputation takes a substantial amount of time to learn, and a substantial amount of time to implement. Expect to spend at least as much time on your imputation model as on your analysis model—the model whose results you are interested in for your research. Second, the practical technique for doing it in the social sciences ... WebWhen using multiple imputation, users often want to know how many imputations they need. An old answer is that 2-10 imputations usually suffice, but this recommendation … notice of service cancellation letter