Evidence map›Paper›PMID 28881279›Full record

ArticleAccident; analysis and prevention2017

Evaluation of risk change-point for novice teenage drivers.

Qing Li, Feng Guo, Sheila G Klauer, Bruce G Simons-Morton

Abstract read
In one paragraph

Article in Accident; analysis and prevention, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qing LiDepartment of Statistics, University of Wisconsin-Madison, United States.
Feng GuoDepartment of Statistics, Virginia Tech, 250 Drillfield Drive, Blacksburg, VA 24061, United States; Virginia Tech Transportation Institute, United States. Electronic address: feng.guo@vt.edu.
Sheila G KlauerVirginia Tech Transportation Institute, United States.
Bruce G Simons-MortonEunice Kennedy Shriver National Institute of Child Health and Human Development, United States.

Funding

Preventing Motor Vehicle Crashes Among Young DriversZ01HD001707 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SIMONS-MORTON, BRUCE G · 1999 to 2008
$959k
Intramural NIH HHS Z01 HD001707
6 · The paper itself

Abstract

The driving risk of novice teenagers is the highest during the initial period after licensure but decreases rapidly. This paper applies two recurrent-event change-point models to detect the time of change in driving risks. The models are based on a non-homogeneous Poisson process with piecewise constant intensity functions. We show that the maximum likelihood estimators of the change-points can only occur at the event times and they are consistent. A simulation study is conducted to demonstrate the model performance under different scenarios. The proposed models are applied to the Naturalistic Teenage Driving Study, which continuously recorded in situ driving behaviour of 42 novice teenage drivers for the first 18 months after licensure using sophisticated in-vehicle instrumentation. The results indicate that approximately half of the drivers have lower risk after 73.0h of independent driving after licensure while the risk for others increases. On the average the driving risk deceases after the change-point. The results provide critical information for safety education, safety countermeasure development, and Graduated Driver Licensing policy making.

Indexed as

Accidents, TrafficAutomobile DrivingLicensureSafetyAdolescentFemaleHumansMaleModels, BiologicalPoisson DistributionRiskTime FactorsChange-pointDriving riskNaturalistic Teenage Driving StudyNon-homogeneous Poisson processRecurrent events

Identifiers

PMID28881279
PMCPMC5644313

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.