Difference between revisions of "Recursive partitioning for missing data imputation in the presence of interaction effects."

(Created page with " === Citation === Doove, L., Buuren, S. V., and Dusseldorp, E. (2014). Recursive partitioning for missing data imputation in the presence of interaction effects. Computational...")
 
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missing data imputation in the presence of interaction effects. Computational
 
missing data imputation in the presence of interaction effects. Computational
 
Statistics and Data Analysis, 72:92–104.
 
Statistics and Data Analysis, 72:92–104.
[https://doi.org/: Permanent link to the paper]
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[http://dx.doi.org/10.1016/j.csda.2013.10.025 Permanent link to the paper]
 
 
  
 
=== Summary ===
 
=== Summary ===

Latest revision as of 11:48, 25 February 2020

Citation

Doove, L., Buuren, S. V., and Dusseldorp, E. (2014). Recursive partitioning for missing data imputation in the presence of interaction effects. Computational Statistics and Data Analysis, 72:92–104. Permanent link to the paper

Summary

Briefly describe the scope of the paper, i.e. the field of research and/or application.

Study outcomes

List the paper results concerning method comparison and benchmarking:

Outcome O1

The performance of ...

Outcome O1 is presented as Figure X in the original publication.

Outcome O2

...

Outcome O2 is presented as Figure X in the original publication.

Outcome On

...

Outcome On is presented as Figure X in the original publication.

Further outcomes

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Study design and evidence level

General aspects

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Design for Outcome O1

  • The outcome was generated for ...
  • Configuration parameters were chosen ...
  • ...

Design for Outcome O2

  • The outcome was generated for ...
  • Configuration parameters were chosen ...
  • ...

...

Design for Outcome O

  • The outcome was generated for ...
  • Configuration parameters were chosen ...
  • ...

Further comments and aspects

References

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