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Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome

CITE Title : Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome Personal Author(s) : Zhang, Yujia;Crawford, Sara;Boulet, Sheree L.;Monsour, Michael;Cohen, Bruce;McKane, Patricia;Freeman, Karen; Published Date : 2017 Source : J Mod Appl Stat Methods. 16(1):744-752. URL : https://stacks.cdc.gov/view/cdc/60454 Zhang, Yujia et al. (2017). Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome. 16(1). Zhang, Yujia et al. "Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome" 16, no. 1 (2017) Zhang, Yujia et al. "Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome" vol. 16, no. 1, 2017 Export RIS Citation Information.

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Zhang, Yujia ;

Crawford, Sara

2017 | J Mod Appl Stat Methods. 16(1):744-752.

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Temporal changes in methods for collecting longitudinal data can generate inconsistent distributions of affected variables, but effects on parameter e...

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