[R] Missing data analysis in R

[Berton Gunter]

Have a look at J.L Schafer: ANALYSIS OF INCOMPLETE MULTIVARIATE DATA (1997).


R already has several packages that deal with missing data imputation, I
believe. Search around (please excuse my laziness). 

Don't know if you can get exactly what you want (an R/S -centric text),
though.


Bert Gunter
Nonclinical Statistics
7-7374

-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Inman, Brant A. M.D.
Sent: Tuesday, October 31, 2006 9:18 AM
To: r-help at 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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