Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use.

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Adjustment for time-dependent unmeasured confounders in marginal structural Cox models using validation sample data.Propensity score analysis with partially observed covariates: How should multiple imputation be used?

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Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use.

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2015 nî lūn-bûn

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Incorporating linked healthcar ...... of in-hospital medication use.

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Incorporating linked healthcar ...... of in-hospital medication use.

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Incorporating linked healthcar ...... of in-hospital medication use

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Jessica M Franklin

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Sebastian Schneeweiss

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Wesley Eddings

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P2860

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How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

Supplementing claims data with outpatient laboratory test results to improve confounding adjustment in effectiveness studies of lipid-lowering treatments.

Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data.

Adjustment for missing confounders in studies based on observational databases: 2-stage calibration combining propensity scores from primary and validation data.

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s40264-015-0292-x

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scholarly article

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10.1007/S40264-015-0292-X

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Jeremy Rassen

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Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use.

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P2860

P2860

Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use.

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