(Q58618862)

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A comparison of multiple imputation and doubly robust estimation for analyses with missing data

article by James R. Carpenter et al published July 2006 in Journal of the Royal Statistical Society

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A comparison of multiple imputation and doubly robust estimation for analyses with missing data (English)

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Stijn Vansteelandt

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Michael G. Kenward

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Michael G. Kenward

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James R. Carpenter

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English

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July 2006

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Journal of the Royal Statistical Society

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169

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3

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571-584

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Analysis of semi-parametric regression models with non-ignorable non-response.

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https://api.crossref.org/works/10.1111%2FJ.1467-985X.2006.00407.X

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21 January 2018

Multiple imputation: a primer

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https://api.crossref.org/works/10.1111%2FJ.1467-985X.2006.00407.X

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21 January 2018

Models for longitudinal data: a generalized estimating equation approach

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reference URL

https://api.crossref.org/works/10.1111%2FJ.1467-985X.2006.00407.X

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21 January 2018

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10.1111/J.1467-985X.2006.00407.X

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(Q58618862)

A comparison of multiple imputation and doubly robust estimation for analyses with missing data

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