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

EXTERNAL VALIDATION EFFICIENCY PROGNOSIS Biomedical Research 330 Databases, Factual IMPACT Missing data MODELS MULTICENTER TRAUMATIC BRAIN-INJURY imputation 551 Cohort Studies missing data tutorial 03 medical and health sciences Traumatic brain injury 0302 clinical medicine REGRESSION Brain Injuries, Traumatic Tutorial Humans Prospective Studies Imputation traumatic brain injury prediction Prognosis 3. Good health Europe BIAS imputation; missing data; prediction; traumatic brain injury; tutorial; Data Interpretation, Statistical MODERATE Prediction [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology Radboudumc 10: Reconstructive and regenerative medicine RIHS: Radboud Institute for Health Sciences
DOI: 10.1089/neu.2020.7218 Publication Date: 2021-01-20T11:58:50Z
AUTHORS (246)
ABSTRACT
In medical research, missing data is common. In acute diseases, such as traumatic brain injury (TBI), even well-conducted prospective studies may suffer from missing data in baseline characteristics and outcomes. Statistical models may simply drop patients with any missing values, potentially leaving a selected subset of the original cohort. Imputation is widely accepted by methodologists as an appropriate way to deal with missing data. We aim to provide practical guidance on handling missing data for prediction modeling. We hereto propose a five-step approach, centered around single and multiple imputation: 1) explore the missing data patterns; 2) choose a method of imputation; 3) perform imputation; 4) assess diagnostics of the imputation; and 5) analyze the imputed data sets. We illustrate these five steps with the estimation and validation of the IMPACT (International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury) prognostic model in 1375 patients from the CENTER-TBI database, included in 53 centers across 17 countries, with moderate or severe TBI in the prospective European CENTER-TBI study. Future prediction modeling studies in acute diseases may benefit from following the suggested five steps for optimal statistical analysis and interpretation, after maximal effort has been made to minimize missing data.
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