Pedestrian injury analysis with consideration of the selectivity bias in linked police-hospital data

Accident Analysis and Prevention

Volumn 43, Issue 5, 2011, Pages 1689-1695

  Tarko, Andrew ^a   Azam, Md Shafiul ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Bivariate ordered probit; Injury severity; MAIS; Pedestrian safety; Selectivity bias

Indexed keywords

ABBREVIATED INJURY SCALE; BIVARIATE; CRASH DATA; HIGH-SPEED; INJURY LEVELS; INJURY SEVERITY; MAIS; MODEL COEFFICIENT; MODEL PREDICTION; ORDERED PROBIT MODEL; PEDESTRIAN CRASHES; PEDESTRIAN INJURIES; RANDOM SAMPLING; SAFETY COUNTERMEASURES; SAMPLE SELECTION; SEVERITY FACTOR; URBAN ROAD; VEHICLE CHARACTERISTICS;

FORECASTING; HOSPITALS; LAW ENFORCEMENT; MATHEMATICAL MODELS; ROADS AND STREETS;

PEDESTRIAN SAFETY;

ARTICLE; EPIDEMIOLOGY; FEMALE; HOSPITAL; HUMAN; INJURY; INJURY SCALE; MALE; POLICE; RISK FACTOR; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNITED STATES; WALKING;

ABBREVIATED INJURY SCALE; ACCIDENTS, TRAFFIC; FEMALE; HOSPITALS; HUMANS; INDIANA; MALE; MODELS, STATISTICAL; POLICE; RISK FACTORS; SELECTION BIAS; WALKING; WOUNDS AND INJURIES;

EID: 79958237646     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2011.03.027     Document Type: Article

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