Skip to main content

A semiparametric method of multiple imputation

Buy Article:

$43.00 plus tax (Refund Policy)

In this paper, we describe how to use multiple imputation semiparametrically to obtain estimates of parameters and their standard errors when some individuals have missing data. The methods given require the investigator to know or be able to estimate the process generating the missing data but requires no full distributional form for the data. The method is especially useful for non-standard problems, such as estimating the median when data are missing.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Complete cases; Missing at random; Missing data mechanism

Document Type: Original Article

Affiliations: 1: Harvard School of Public Health and Dana Farber Cancer Institute, Boston, USA, 2: Fred Hutchinson Cancer Research Center, Seattle, USA, 3: Limburgs Universitair Centrum, Diepenbeek, Belgium

Publication date: 01 January 1998

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more