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Volumn 88, Issue , 2016, Pages 52-55
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Comparison of the binary logistic and skewed logistic (Scobit) models of injury severity in motor vehicle collisions
a
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Author keywords
Injury severity; Logistic model; Scobit; Skewed logistic model
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Indexed keywords
ACCIDENT PREVENTION;
SAFETY ENGINEERING;
BINARY LOGISTIC MODEL;
INJURY SEVERITY;
LOGISTIC MODELS;
MARGINAL EFFECTS;
MOTOR VEHICLE COLLISIONS;
SCOBIT;
SYMMETRIC DISTRIBUTIONS;
TRAFFIC COLLISIONS;
BINS;
ADOLESCENT;
ADULT;
AGE;
AGED;
CHILD;
FEMALE;
HUMAN;
INJURY SCALE;
MALE;
MIDDLE AGED;
MORTALITY;
MOTOR VEHICLE;
SEATBELT;
SEX DIFFERENCE;
STATISTICAL MODEL;
STATISTICS AND NUMERICAL DATA;
TIME FACTOR;
TRAFFIC ACCIDENT;
VICTORIA;
WOUNDS AND INJURIES;
YOUNG ADULT;
ACCIDENTS, TRAFFIC;
ADOLESCENT;
ADULT;
AGE FACTORS;
AGED;
CHILD;
FEMALE;
HUMANS;
LOGISTIC MODELS;
MALE;
MIDDLE AGED;
MOTOR VEHICLES;
SEAT BELTS;
SEX FACTORS;
TIME FACTORS;
TRAUMA SEVERITY INDICES;
VICTORIA;
WOUNDS AND INJURIES;
YOUNG ADULT;
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EID: 84950985694
PISSN: 00014575
EISSN: None
Source Type: Journal
DOI: 10.1016/j.aap.2015.12.009 Document Type: Article |
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Times cited : (27)
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References (4)
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