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Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring

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  • Patrick Royston

    (Cancer and Statistical Methodology Groups, MRC Clinical Trials Unit)

Abstract

Multiple imputation of missing data continues to be a topic of considerable interest and importance to applied researchers. In this article, the ice package for multiple imputation is further updated. Special attention in this article is paid to imputing interval-censored observations, and a suggestion to use imputation of right-censored survival data to elucidate covariate effects graphically. Copyright 2007 by StataCorp LP.

Suggested Citation

  • Patrick Royston, 2007. "Multiple imputation of missing values: further update of ice, with an emphasis on interval censoring," Stata Journal, StataCorp LP, vol. 7(4), pages 445-464, December.
    • Handle: RePEc:tsj:stataj:v:7:y:2007:i:4:p:445-464
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    References listed on IDEAS

    as
    1. P. Royston, 2001. "The Lognormal Distribution as a Model for Survival Time in Cancer, With an Emphasis on Prognostic Factors," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 55(1), pages 89-104, March.
    2. John B. Carlin & John C. Galati & Patrick Royston, 2008. "A new framework for managing and analyzing multiply imputed data in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 49-67, February.
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