[R-sig-ME] Best way to handle missing data?

[Ken Beath]

On 28 February 2015 at 07:00, Bonnie Dixon <bmdixon at ucdavis.edu> wrote:


> Given that, I am now working on a multiple imputation solution for my
> problem, using either mice or Amelia, and will post again to the list once
> I have a working example.  (Apparently, I was wrong about mice only being
> able to impute one variable.)  How many imputations are needed?  Many
> sources online indicate that 3-10 is usually enough, and the default in
> both mice and Amelia is 5.
>
>
Others claim 20, and that seems to be more than sufficient for a lot of
problems. It will depend on what proportion of your data is missing, and
how dependent the outcome is on these. As you generally can't have too many
then I would start with say 20 and then try a couple of larger number and
if there is no change then 20 was sufficient.

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