"Analysis of Incomplete Multivariate Data" is the name you were thinking of.

I thought it was pretty good and has some S examples if i remember correctly


On 10/31/06, Leeds, Mark (IED) <Mark.Leeds@morganstanley.com> wrote:
>
> there is a green book by joe shafer ( I forget the name but it's
> probsably on amazon ). I also
> Can't say it's in the same format as faraday's book but I think it's
> fairly popular for multiple
> Imputation techniques etc.
>
>
> -----Original Message-----
> From: r-help-bounces@stat.math.ethz.ch
> [mailto:r-help-bounces@stat.math.ethz.ch ] On Behalf Of Inman, Brant A.
> M.D.
> Sent: Tuesday, October 31, 2006 12:18 PM
> To: r-help@stat.math.ethz.ch
> Subject: [R] Missing data analysis in R
>
>
> I am looking for a book that discusses the theory of multiple imputation
> (and other methods of dealing with missing data) and, just as
> importantly, how to implement these methods in R or S-Plus.  Ideally,
> the book would have a structure similar to Faraway (Regression),
> Pinheiro&Bates (Mixed Effects) and Wood (GAMs) and would be very modern
> (i.e. published within the last couple of years).
>
> Any ideas?  If such a book does not exist, one of the experts on this
> help list should write it! (I will gladly buy the first copy.)
>
> Brant Inman
> Mayo Clinic
>
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> This is not an offer (or solicitation of an offer) to buy/se...{{dropped}}
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