Estimating the avoidable burden and population attributable fraction of human risk factors of road traffic injuries in iran: application of penalization, bias reduction and sparse data analysis-Reference-Cited by-同舟云学术

Estimating the avoidable burden and population attributable fraction of human risk factors of road traffic injuries in iran: application of penalization, bias reduction and sparse data analysis

Published:2019-09-13 Issue:4 Volume:26 Page:405-411
ISSN:1745-7300
Container-title:International Journal of Injury Control and Safety Promotion
language:en
Short-container-title:International Journal of Injury Control and Safety Promotion

Author:

Bakhtiyari Mahmood¹,Mehmandar Mohammad Reza²,Khezeli Mehdi³,Latifi Arman⁴,Jouybari Touraj Ahmadi⁵,Mansournia Mohammad Ali⁶^ORCID

Affiliation:

1. Non-Communicable Diseases Research Center, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran;

2. Police Science University, NAJA Traffic Police, Tehran, Iran;

3. Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran;

4. Department of Public Health, Maragheh University of Medical Sciences, Maragheh, Iran;

5. Clinical Research Development Center, Imam Khomaini Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran;

6. Department of Epidemiology and Biostatistics, School of Public Health & Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2019.1660374

Reference37 articles.

1. Trends of Fatal Road Traffic Injuries in Iran (2004–2011)

2. The Road Traffic Crashes as a Neglected Public Health Concern; An Observational Study From Iranian Population

3. An epidemiological survey on road traffic crashes in Iran: application of the two logistic regression models

4. Categorical versus continuous risk factors and the calculation of potential impact fractions

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