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Analysis of incomplete data using inverse probability weighting and doubly robust estimators

Stijn Vansteelandt UGent, James Carpenter and Michael G Kenward (2010) METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES. 6(1). p.37-48
abstract
This article reviews inverse probability weighting methods and doubly robust estimation methods for the analysis of incomplete data sets. We first consider methods for estimating a population mean when the outcome is missing at random, in the sense that measured covariates can explain whether or not the outcome is observed. We then sketch the rationale of these methods and elaborate on their usefulness in the presence of influential inverse weights. We finally outline how to apply these methods in a variety of settings, such as for fitting regression models with incomplete outcomes or covariates, emphasizing the use of standard software programs.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (proceedingsPaper)
publication status
published
subject
keyword
extrapolation, doubly robust estimation, extreme weights, Horvitz-Thompson estimator, inverse probability weighting, missing data, multiple imputation, MISSING DATA, MULTIPLE IMPUTATION, REGRESSION-MODELS, REPEATED OUTCOMES, INFERENCE, NONRESPONSE
journal title
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES
Methodology
volume
6
issue
1
pages
37 - 48
conference name
Fall meeting of the Social Science Division of the Dutch Statistical Society
conference location
Tilburg, The Netherlands
conference start
2009-09-30
conference end
2009-09-30
Web of Science type
Proceedings Paper
Web of Science id
000279183000005
ISSN
1614-1881
DOI
10.1027/1614-2241/a000005
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1073694
handle
http://hdl.handle.net/1854/LU-1073694
date created
2010-11-15 13:52:24
date last changed
2017-03-09 11:57:39
@article{1073694,
  abstract     = {This article reviews inverse probability weighting methods and doubly robust estimation methods for the analysis of incomplete data sets. We first consider methods for estimating a population mean when the outcome is missing at random, in the sense that measured covariates can explain whether or not the outcome is observed. We then sketch the rationale of these methods and elaborate on their usefulness in the presence of influential inverse weights. We finally outline how to apply these methods in a variety of settings, such as for fitting regression models with incomplete outcomes or covariates, emphasizing the use of standard software programs.},
  author       = {Vansteelandt, Stijn and Carpenter, James and Kenward, Michael G},
  issn         = {1614-1881},
  journal      = {METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES},
  keyword      = {extrapolation,doubly robust estimation,extreme weights,Horvitz-Thompson estimator,inverse probability weighting,missing data,multiple imputation,MISSING DATA,MULTIPLE IMPUTATION,REGRESSION-MODELS,REPEATED OUTCOMES,INFERENCE,NONRESPONSE},
  language     = {eng},
  location     = {Tilburg, The Netherlands},
  number       = {1},
  pages        = {37--48},
  title        = {Analysis of incomplete data using inverse probability weighting and doubly robust estimators},
  url          = {http://dx.doi.org/10.1027/1614-2241/a000005},
  volume       = {6},
  year         = {2010},
}

Chicago
Vansteelandt, Stijn, James Carpenter, and Michael G Kenward. 2010. “Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators.” Methodology-european Journal of Research Methods for the Behavioral and Social Sciences 6 (1): 37–48.
APA
Vansteelandt, S., Carpenter, J., & Kenward, M. G. (2010). Analysis of incomplete data using inverse probability weighting and doubly robust estimators. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 6(1), 37–48. Presented at the Fall meeting of the Social Science Division of the Dutch Statistical Society.
Vancouver
1.
Vansteelandt S, Carpenter J, Kenward MG. Analysis of incomplete data using inverse probability weighting and doubly robust estimators. METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES. 2010;6(1):37–48.
MLA
Vansteelandt, Stijn, James Carpenter, and Michael G Kenward. “Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators.” METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES 6.1 (2010): 37–48. Print.