DS200DSPCH1ADA GE General Electric Card Module
Technical data of product parameters
This document provides a detailed discussion of the case control method and discusses its
potential to estimate CMFs. It reviews the strengths and weaknesses of the case-control method
and discusses other related elements, including sample size calculations and modeling
techniques. Confounding factors are identified as a potential issue in the analysis of crosssectional data and several potential confounding factors are investigated. Empirical examplesDS200DSPCH1ADA provided using data from rural, two-lane, undivided roads in Pennsylvania and Washington.
Matching is applied in the case-control design to isolate the effects of lane and shoulder width
by accounting for confounding variables, such as DS200DSPCH1ADA, speed limit, and segment length.
Conditional logistic regression is used to account for the matching procedure and estimate
DS200DSPCH1ADA in Civil Engineering: Alternative Methods for Estimating Safety
Effectiveness on Rural, Two-Lane Highways: Case-Control and Cohort Methods. The Pennsylvania
State University, December 2006.
Estimation of Safety Effectiveness of Changes in Shoulder Width using Case-Control and
Cohort MethodsDS200DSPCH1ADA
This paper explores the use of the case-control design to estimate CMFs for shoulder width. It
provides an overview of the case-control method and discusses the associated strengths and
weaknesses. It also discusses the potential issue of confounding factors and identifies two
methods to account for confounding factors in a case-control design (matching and inclusion of
covariates in a regression model). Conditional logistic regression models are then developed toDS200DSPCH1ADA
estimate CMFs for shoulder width, using data for rural, two-lane, undivided roads in
Pennsylvania
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