Examining the nonparametric effect of drivers' age in rear-end accidents through an additive logistic regression model

Accident Analysis and Prevention

Volumn 67, Issue , 2014, Pages 129-136

  Ma, Lu ^a   Yan, Xuedong ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Additive logistic regression; Age effect; Inherently matched pairs; Relative risks

Indexed keywords

ADDITIVES; HIGHWAY PLANNING; INTERPOLATION; LOGISTIC REGRESSION; VEHICLES;

AGE EFFECTS; CUBIC SPLINE FUNCTIONS; INHERENTLY MATCHED PAIRS; LOGISTIC REGRESSION MODELING; NON-LINEAR RELATIONSHIPS; REAR-END COLLISIONS; RELATIVE RISKS; STATISTICAL MODELING;

ACCIDENTS;

ADULT; AGE; AGED; CAR DRIVING; FEMALE; HUMAN; MALE; MIDDLE AGED; RISK; SAFETY; SEX DIFFERENCE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; UNITED STATES; VERY ELDERLY; YOUNG ADULT;

ACCIDENTS, TRAFFIC; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; AUTOMOBILE DRIVING; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; RISK; SAFETY; SEX FACTORS; UNITED STATES; YOUNG ADULT;

EID: 84896530439     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2014.02.021     Document Type: Article

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