Methodology Application: Logistic Regression the Using CODES Data

Walker, Jonathan

doi:10.21949/1403128

i

Methodology Application: Logistic Regression the Using CODES Data

1996-09-06
By Walker, Jonathan

File Language:

English

Details

Creators:

Walker, Jonathan
Corporate Contributors:

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

Crash Analysis Crash Data Crash Outcome Data Evaluation Systems (CODES) Data Banks Logistic Regression Qualitative Measures Of Effectiveness Regression Analysis Statistical Analysis Statistical Methodologies
Publication/ Report Number:

HS-808 460
DOI:

https://doi.org/10.21949/1403128
Resource Type:

Research Paper
Geographical Coverage:

United States
Corporate Publisher:

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

Congress directed the Secretary of Transportation, through the Intermodal Surface Transportation Efficiency Act (ISTEA) of 1991, to carry out a study or studies to determine the impact of safety belt and motorcycle helmet use. In order to carry out the studies described in the Act, the National Highway Traffic Safety Administration (NHTSA) used the resources provided in the legislation to fund states to develop Crash Outcome Data Evaluation Systems (CODES). The states in the CODES project used a cost-efficient method (probabilistic linkage) of matching crash data to medical and insurance data. NHTSA wants to expand the establishment and use of these linked data sets. This report addresses logistic regression, a powerful statistical analysis, as a tool to use with the material in the CODES database. It allows researchers using qualitative measures of effectiveness, such as 'died versus survived,' to investigate relationships between that measure and many other measures simultaneously, whether those other measures are qualitative or quantitative. This document will introduce logistic regression to analysts who have limited experience or no experience with it. This paper is intended for users who have had course work in applied statistics at the college level or higher and who are familiar with the Chi-square test and linear regression.
Format:

PDF
Funding:

OPM 91-2973
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:1a31dd456256ac139e03bc6084fca816217e8c699a1892e61b34bf6b388cc03121391d478f830032203aeb7df1a40abc3711c9a8cee2865700f44b2bdc604ed1
Download URL:

https://rosap.ntl.bts.gov/view/dot/4427/dot_4427_DS1.pdf
File Type:

[PDF - 775.02 KB ]

File Language:

English

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