English, Article edition: WHOTDECK: Stata module to perform multiple imputation using the Approximate Bayesian Bootstrap with weights Adrian Mander

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Bookmark: http://trove.nla.gov.au/version/175921
Physical Description
  • code
Language
  • English

Edition details

Title
  • WHOTDECK: Stata module to perform multiple imputation using the Approximate Bayesian Bootstrap with weights
Author
  • Adrian Mander
Physical Description
  • code
Notes
  • whotdeck will tabulate the missing data patterns within the varlist. A row of data with missing values in any of the variables in the varlist is defined as a `missing line' of data, similarly a `complete line' is one where all the variables in the varlist contain data. The whotdeck procedure replaces the varlist variables in the `missing lines' with the corresponding values in the `complete lines'. whotdeck should be used several times within a multiple imputation sequence since missing data are imputed stochastically, with weights determined by a logistic regression model of the missing data process, rather than deterministically.
  • data manipulation, multiple imputation, Bayesian bootstrap
  • RePEc:boc:bocode:s433201
Language
  • English
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