Related Experiment Video
Updated: Mar 22, 2026

07:25
Driving Under the Influence: How Music Listening Affects Driving Behaviors
Published on: March 27, 2019
13.3K
Differences in state drug testing and reporting by driver type in U.S. fatal traffic crashes
Megan E Slater1, I-Jen P Castle1, Barry K Logan2
1CSR, Incorporated, 4250 Fairfax Drive, Suite 500, Arlington, VA 22203, United States.
Accident; Analysis and Prevention
|April 10, 2016
Summary
Drug testing rates in fatal crashes vary significantly by driver outcome and fault. Improving drug testing policies and reporting is crucial for accurate drugged driving analysis.
Area of Science:
- Public Health
- Traffic Safety
- Forensic Science
Background:
- Drug-impaired driving is a growing concern despite prevention efforts.
- The Fatality Analysis Reporting System (FARS) is a key data source but has completeness issues for drug use analysis.
Purpose of the Study:
- Analyze state drug testing rates in fatal crashes using 2013 FARS data.
- Identify factors influencing testing rates and discuss data limitations.
- Propose improvements for future drugged driving data analysis.
Main Methods:
- Utilized the 2013 FARS dataset.
- Examined drug testing rates based on driver type and fault.
- Assessed correlations with state-level factors like blood alcohol content (BAC) testing rates.
Main Results:
- Highest drug testing rates were observed for drivers who died at the scene (median=70.8%) and those at fault (median=64.4%).
- Lowest rates were for surviving drivers not hospitalized (median=14.0%) or not at fault (median=10.0%).
- States with higher BAC testing rates generally showed higher drug testing rates.
Conclusions:
- Standardization and mandatory testing policies could increase drug testing rates.
- Caution is advised when interpreting current FARS data due to limitations.
- Further research and improved drug testing/reporting are needed to accurately assess impaired driving.
Related Concept Videos
Hypothesis Test for Test of Independence
8.3K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
8.3K
Drug Regulation
3.3K
Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
3.3K
Introduction to Test of Independence
3.1K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
3.1K
Drug Toxicity: Overview
163
Drug toxicity quantifies the harm a compound causes to an organism, varying by dose and potentially impacting whole systems or specific organs like the liver. Toxic reactions may arise from venomous insect or spider bites, with effects ranging from mild symptoms to severe outcomes such as brain damage or death. Common forms of acute poisoning include ethanol intoxication and overdose of pain or fever medications, with substances like GHB and heroin being particularly lethal at doses close to...
163
Drug Toxicity: Risk factors
147
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...
147
Determination of Expected Frequency
2.7K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.7K

