Data Reconciliation–Based Traffic Count Analysis System

Analysis of Count Data Using the SAS ® System

Count data is increasingly common in clinical research (Gardner, Mulvey and Shaw (1995); Glynn and Buring (1996)). Examples include the number of adverse events occurring during a follow up period, the number of hospitalizations, the number of seizures in epileptics, etc. It is straightforward to analyze the count data by using PROCEDURE GENMOD of SAS/STAT, but as it is going to be shown below,...

Regression Analysis of Count Data

Three nonlinear count models, Poisson R.egression (PR), Negative Binomial Regression (NBR), and Generalized Poisson Regression (GPR) are used for assessing the effects of risk factors on agricultural injuries from farm injury data. A sample of 1,322 respondents who participated in the farm safety/injury baseline survey in nine rural counties in Alabama and Mississippi, aged 18 years and older a...

Estimating Vehicle Speed from Traffic Count and Occupancy Data

Automatic vehicle detectors are now common on road systems across the world. Many of these detectors are based on single inductive loops, from which data on traffic volumes (i.e. vehicle counts) and occupancy (i.e. proportion of time during which the loop is occupied) are available for 20 or 30 second observational periods. However, for the purposes of traffic management it is frequently useful...

Mediation analysis for count and zero-inflated count data.

Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with nonlinear models. When there are post-treatment ...

Automated Video-Based Traffic Count Analysis FINAL RESEARCH REPORT