Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes

Accident Analysis and Prevention

Volumn 43, Issue 1, 2011, Pages 112-122

  Kononen, Douglas W ^a   Flannagan, Carol A C ^b   Wang, Stewart C ^c  

^a GENERAL MOTORS CORPORATION   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

Author keywords

Clinical prediction modeling; Logistic regression; Motor vehicle crash injuries

Indexed keywords

CDS; CENTERS FOR DISEASE CONTROL AND PREVENTIONS; CRASH INJURY; CRASH MODES; CUT-POINT; DATA SYSTEMS; DELTA-V; EXPERT PANELS; INJURY SEVERITY; LIGHT TRUCKS; LOGISTIC REGRESSION; LOGISTIC REGRESSION MODELS; MODEL INPUTS; MODEL SENSITIVITY; MOTOR VEHICLE CRASH INJURIES; MOTOR VEHICLE CRASHES; MULTIVARIATE LOGISTIC REGRESSIONS; PICKUP TRUCKS; PREDICTION MODELING; PREDICTOR VARIABLES; RECEIVER OPERATOR CHARACTERISTIC CURVES; RELATED INJURIES; SAMPLING SYSTEMS; SCREENING ALGORITHMS; SEAT BELT USE; SERIOUS INJURIES; TELEMATICS SYSTEM; VEHICLE TYPES;

AUTOMOBILES; CRASHWORTHINESS; DISEASE CONTROL; FORECASTING; HIGHWAY ACCIDENTS; MATHEMATICAL OPERATORS; TRUCKS;

REGRESSION ANALYSIS;

AGE; ALGORITHM; ARTICLE; FEMALE; HUMAN; INJURY; INJURY SCALE; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SEATBELT; SENSITIVITY AND SPECIFICITY; SEX DIFFERENCE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UTILIZATION REVIEW; VALIDATION STUDY;

ABBREVIATED INJURY SCALE; ACCIDENTS, TRAFFIC; AGE FACTORS; ALGORITHMS; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; INJURY SEVERITY SCORE; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; MODELS, STATISTICAL; RISK ASSESSMENT; ROC CURVE; SEAT BELTS; SENSITIVITY AND SPECIFICITY; SEX FACTORS; WOUNDS AND INJURIES;

EID: 78649930468     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2010.07.018     Document Type: Article

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