Journal article
Practical and statistical challenges in driving research
Statistics in medicine, Vol.38(2), pp.152-159
01/30/2019
DOI: 10.1002/sim.7903
PMID: 30019347
Abstract
Driving is an integral aspect of many modern societies, and motor vehicle safety is an important public health issue. With advances in sensor technology, more and more driving data are being collected by researchers, insurers, and automobile companies, which has increased the need and opportunities for statisticians to be involved in driving research. This report discusses several practical and statistical challenges in driver‐level studies, including the process of defining meaningful driving metrics, issues related to “Big Data” aspects of driving research, and the principle of reproducible research.
Details
- Title: Subtitle
- Practical and statistical challenges in driving research
- Creators
- Jeffrey D Dawson - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Statistics in medicine, Vol.38(2), pp.152-159
- DOI
- 10.1002/sim.7903
- PMID
- 30019347
- NLM abbreviation
- Stat Med
- ISSN
- 0277-6715
- eISSN
- 1097-0258
- Number of pages
- 8
- Grant note
- U.S. Centers for Disease Control and Prevention Toyota Collaborative Safety Research Center NIH/NIA R01 (AG017177) U.S. National Institutes of Health Nissan Motor Company
- Language
- English
- Date published
- 01/30/2019
- Academic Unit
- Public Health Administration; Biostatistics
- Record Identifier
- 9984214660502771
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