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- aggregation classification "A1".
- aggregation creator B256903.
- aggregation creator B256904.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1073694.bibtex.
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- aggregation isPartOf urn:issn:1614-1881.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Science General".
- aggregation title "Analysis of incomplete data using inverse probability weighting and doubly robust estimators".
- aggregation 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.".
- aggregation authorList BK532165.
- aggregation endPage "48".
- aggregation issue "1".
- aggregation startPage "37".
- aggregation volume "6".
- aggregation aggregates 1073699.
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