Bala: one could multiply impute the missing values using a program such as
IVEware (see my colleague Raghunathan's U Michigan web site). You might
explore PM models, but I think the MAR analysis is the default

BTW, under MAR there is not much information in the cases with outcome
missing for the regression on all the covariates -- in the special case
with all covariates observed, no information at all. So I am skeptical
that imputing the cases with missing outcomes will have much pay-off. Rod
 
 On Mon, 25 Oct 2004,
Balasubramani, G.K. wrote:

> Hello all,
>  
> We have a multivariate missing data(outcome is a continuous measure and
> missing occurs in both outcome as well as in covariates) and the it
> follows the assumption of MNAR. We are trying to do the pattern mixture
> model approach as suggested by Little (1993) in his JASA paper. But we
> had some difficulty of doing that. I can briefy explain below our data
> structure:
>  
> The data set consists of four sets of patterns:
>  
>  1. Non- missing outcome(continuous measure) with all the values of the
> covariates are available 
>  2. Non-missing outcome with one or more vaues of the covariates are
> missing 
>  3. Missing outcome with  all the values of the covariates are available
> 
>  4. Missing outcome with one or more vaues of the covariates are
> missing. 
>  
> We modelled on non-missing outcome using the first two groups and
> estimated the parameters and using these estimated parameters, we
> predict  the missing outcome, but for only with all the values of the
> covatiate. We cannot be able to find out the values for the missing
> outcome with missed covariate values. 
>  
> In this type of situation, how to model this case using the data
> patterns in 3 and 4. Is there any method available for the missing
> covarites for imputation. 
>  
> Any suggestions.
>  
> Thanks in advance.
>  
> Bala
> 

___________________________________________________________________________________
Roderick Little
Richard D. Remington Collegiate Professor                  (734) 936-1003
Department of Biostatistics                          Fax:  (734) 763-2215
U-M School of Public Health                         
M4045 SPH II                            [email protected]
1420 Washington Hgts                    http://www.sph.umich.edu/~rlittle/
Ann Arbor, MI 48109-2029


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