R help - Dec 2003 - missing data and completed missing data

Hi,
 
This is not exactly an R request, but does anyone know of a good dataset
that contains missing and missing data that have been completed later
(like from persistent in-person interview attempts)? (want it for some
Bayesian regression analysis)
 
Thanks!!
 
-Raphael

	[[alternative HTML version deleted]]

On Mon, 22 Dec 2003 16:55:58 -0500
"Raphael Schoenle" <schoenle at fas.harvard.edu> wrote:
> Hi,
>  
> This is not exactly an R request, but does anyone know of a good dataset
> that contains missing and missing data that have been completed later
> (like from persistent in-person interview attempts)? (want it for some
> Bayesian regression analysis)
>  
> Thanks!!
>  
> -Raphael
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
Not quite, but see

@Article{eng03imp,
  author =               {Engels, Jean Mundahl and Diehr, Paula},
  title =                {Imputation of missing longitudinal data: a
comparison of methods},
  journal =      J Clinical Epidemiology,
  year =                 2003,
  volume =               56,
  pages =                {968-976},
  annote =               {longitudinal data;repeated
measures;within-subject
imputation vs. using baseline data vs. population group;natural
experiment that solved problems of simulated data because used real
data with real missingness pattern with known true value;true value
was a value observed after a missing response at a certain time, which
was made to be artificially missing;most subjects had such
measurements really missing;gold standard was ability to reproduce the
known value, not performance in the final response model (or group
comparison);LOCF;longitudinal imputation;next observation carried
backward}

---
Frank E Harrell Jr   Professor and Chair           School of Medicine
                     Department of Biostatistics   Vanderbilt University

You might take a set of classified data, say Fisher's irises, and treat 
the classification as initially unknown.

Murray

Raphael Schoenle wrote:
> Hi,
>  
> This is not exactly an R request, but does anyone know of a good dataset
> that contains missing and missing data that have been completed later
> (like from persistent in-person interview attempts)? (want it for some
> Bayesian regression analysis)
>  
> Thanks!!
>  
> -Raphael
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
> 
> 
-- 
Dr Murray Jorgensen      http://www.stats.waikato.ac.nz/Staff/maj.html
Department of Statistics, University of Waikato, Hamilton, New Zealand
Email: maj at waikato.ac.nz                                Fax 7 838 4155
Phone  +64 7 838 4773 wk    +64 7 849 6486 home    Mobile 021 1395 862