Transitioning to multiple imputation : a new method to impute missing blood alcohol concentration (BAC) values in FARS

Subramanian, R.; National Center for Statistics and Analysis (U.S.). Mathematical Analysis Division

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Transitioning to multiple imputation : a new method to impute missing blood alcohol concentration (BAC) values in FARS

2002-01-01
By Subramanian, R.

[PDF-401.38 KB]

English

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Details:

Creators:

Subramanian, R.
Corporate Creators:

National Center for Statistics and Analysis (U.S.). Mathematical Analysis Division
Subject/TRT Terms:

[+]

Alcohol Blood Tests Blood Alcohol Concentration Blood Alcohol Levels Data Collection Data Entry FARS(Fatality Analysis Reporting System) Fatalities Missing Data Multiple Imputation Methodology Statistics
Publication/ Report Number:

DOT HS 809 403
Resource Type:

Tech Report
Edition:

NHTSA technical report
Corporate Publisher:

National Center for Statistics and Analysis (U.S.)
Abstract:

The National Center for Statistics and Analysis (NCSA) of the National Highway Traffic Safety

Administration (NHTSA) has undertaken several approaches to remedy the problem of missing blood alcohol

test results in the Fatality Analysis Reporting System (FARS). The current approach employs a linear

discriminant model that estimates the probability that a driver or nonoccupant has a BAC in grams per

deciliter (g/dl) of 0, .01 to .09 or .10 and greater. Estimates are generated only for drivers and nonoccupants

(pedestrians, pedalcyclists) for whom alcohol test results were not reported.

Beginning with the 2001 data, NHTSA will transition to Multiple Imputation, a new method to estimate

missing BAC in FARS. The publications for the 2001 data will reflect the estimates of alcohol involvement

generated using Multiple Imputation. The new methodology improves on the current model by imputing

specific values of BAC across the full range of possible values rather than estimating probabilities. Imputing

ten values of BAC for each missing value will permit the estimation of valid statistics such as variances,

measures of central tendency, confidence intervals and standard deviations.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:ffb8f85e7cd1c082e17990d390375d13f768b6c24ff20efffe5442d99eb634ce
Download URL:

https://rosap.ntl.bts.gov/view/dot/5199/dot_5199_DS1.pdf
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Transitioning to multiple imputation : a new method to impute missing blood alcohol concentration (BAC) values in FARS

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