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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REFERENCES (48)
CITATIONS (24)
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