How Data Imputation Affects Crash Modeling Results
Crash modification factors (CMF) are used to determine safety treatments for highways. These are based on estimates from correlations of road geometry attributes with crash frequency. These estimates are derived from models using datasets that may have missing data and analysts may choose how to com...
Main Authors: | Yemi Adediji, Robert Noland |
---|---|
Format: | Article |
Language: | English |
Published: |
Network Design Lab
|
Series: | Transport Findings |
Online Access: | http://transportfindings.scholasticahq.com/article/17386-how-data-imputation-affects-crash-modeling-results.pdf |
Similar Items
-
Impact of pre-imputation SNP-filtering on genotype imputation results
by: Roshyara, Nab Raj, et al.
Published: (2014) -
Multiply-Imputed Synthetic Data: Advice to the Imputer
by: Loong Bronwyn, et al.
Published: (2017-12-01) -
How does a financial crash affect the Phillips curve?
by: Difs, Erik
Published: (2018) -
An Imputation Model for Dropouts in Unemployment Data
by: Nilsson Petra
Published: (2016-09-01) -
On imputing UNHCR data
by: Moritz Marbach
Published: (2018-10-01)