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Some prognostic models for traumatic brain injury were not valid
Chantal W.P.M. Hukkelhoven
, Anneke J.J. Rampen
, Andrew I.R. Maas
,
Elana Farace
, J. Dik F. Habbema
, Anthony Marmarou
, Lawrence F. Marshall
, Gordon D. Murray
, Ewout W. Steyerberg
Department of Public Health Sciences
Division of Health Services and Behavioral Research
Department of Neurosurgery
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
:
Contribution to journal
›
Article
›
peer-review
65
Scopus citations
Overview
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Keyphrases
Logistic Regression Model
100%
Traumatic Brain Injury
100%
Prognostic Model
100%
Discriminative Ability
66%
Traumatic Brain Injury Patients
66%
Clinical Trials
33%
External Validation
33%
Brain Injury
33%
Goodness-of-fit Test
33%
Outcome Prediction
33%
Heterogeneous Population
33%
Severe Traumatic Brain Injury (sTBI)
33%
Development Techniques
33%
Moderate to Severe Traumatic Brain Injury
33%
Computed Tomographic
33%
Unfavorable Outcome
33%
Prognostic Risk Factors
33%
Mortality Outcomes
33%
Psychology
Traumatic Brain Injury
100%
Prognostic Model
100%
Regression Model
60%
Study Design
20%
Brain Injury
20%
Nursing and Health Professions
Traumatic Brain Injury
100%
Logistic Regression Analysis
60%
Area under the Curve
40%
database
20%
Coma
20%
Brain Injury
20%
Immunology and Microbiology
Coma
100%
database
100%
Mathematics
Logistic Regression Model
100%
Goodness of Fit Test
33%
Data Bank
33%