27 Apr
2002
27 Apr
'02
6:02 p.m.
I don't know its ever been tested with that many observations.
I think a reasonable procedure would be to take a random sample just for
estimating theta and then doing the imputation for each observation.
that would be computationally efficient and wouldn't lose very much
efficiency. I'd have to look to see whether its possible to do this with
the present version of Amelia...
Gary
On Fri, 26 Apr 2002, McElroy, Brendan wrote:
I'm new to Amelia and I'm having problems
with memory size. I have a STATA
dataset with nine variables and 400,751 observations weighing in at 7.8Mb.
I can load three of the variables - cost, age and sex - into Amelia (for
windows) but the program crashes when I try to run it. There are only 29
missing records on the age variable and the other two are fully coded. The
program crashes immediately when I try to load the full dataset. One of the
variables - disability - has 58,162 missing records and this is what I
really want Amelia to help with. I guess I've two related questions: Is my
dataset so big that multiple imputation will take too long and I should
revert to something like listwise deletion or least squares imputation,
both of which STATA can handle easily? If it's not too big, how do I alter
the memory space allocated by the program?
-
amelia mailing list served by Harvard-MIT Data Center
List Address: amelia(a)latte.harvard.edu
Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/?info=amelia
Yours sincerely,
Brendan McElroy
HRB Research Fellow
Departments of Economics and General Practice
Aras na Laoi
University College Cork
Western Road
Cork
Ireland
Tel: +353 21 490 3522
-
amelia mailing list served by Harvard-MIT Data Center
List Address: amelia(a)latte.harvard.edu
Subscribe/Unsubscribe: http://lists.hmdc.harvard.edu/?info=amelia