4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data

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• External validation of six COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting

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• Imputation strategies for missing baseline neurological assessment covariates after traumatic brain injury: A CENTER-TBI study

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• Imputation strategies for missing baseline neurological assessment covariates after traumatic brain injury: A CENTER-TBI study

  2021 medRxiv preprint Mathematics Statistical Methods and Bayesian Inference Open access

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• Multiple imputation to balance unbalanced designs for two-way analysis of variance

  2021 Methodology article Mathematics Statistical Methods and Bayesian Inference Open access

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• Missing Data in Prediction Research: A Five-Step Approach for Multiple Imputation, Illustrated in the CENTER-TBI Study

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• Development and Validation of a Nonremission Risk Prediction Model in First-Episode Psychosis: An Analysis of 2 Longitudinal Studies

  2021 Schizophrenia Bulletin Open article Medicine Schizophrenia research and treatment Open access

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• Much ado about nothing: Multiple imputation to balance unbalanced designs for two-way analysis of variance

  2020 Methodology article Mathematics Statistical Methods and Bayesian Inference Open access

  0

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8 results