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G R Wood

Publications and source records attributed to G R Wood.

6 recordsLinked to original sources

Confidence and prediction intervals for generalised linear accident models.

Generalised linear models, with "log" link and either Poisson or negative binomial errors, are commonly used for relating accident rates to explanatory variables. This paper adds to the toolkit for such models. It describes how confidence intervals (for example, for the true accident rate at given flows) and prediction intervals (for example, for the number of accidents at a new site with given flows) can be produced using spreadsheet technology.

Accident Prevention↗

Generalised linear accident models and goodness of fit testing.

This paper has two aims. The primary aim is to provide a practical resolution of the low mean value' problem, a barrier to goodness of fit testing for the commonly used generalised linear accident model. A secondary aim of the paper is to describe the underlying mechanism of these models, so making them fully accessible to the transport modeller.

Accidents, Traffic↗

Cellular expression of somatostatin in MAM-induced microencephaly in the rat.

Methylazoxymethanol acetate (MAM) is a mitotic inhibitor that has been used to selectively destroy neuroblasts at specific times during gestation. The administration of MAM results in a dose-dependent microencephaly. Following MAM treatment at 15 days of gestation, we have noted an increase in the level of SS immunoreactivity in the neocortex, as determined by radioimmunoassay. Northern blot analysis for preproSS mRNA revealed an increase in MAM-treated cortex. The cellular distribution of SS has been determined using in situ hybridization and immunocytochemistry. There was a 30% increase in the density of SS-immunoreactive neurons in the cortex of the MAM-treated animals. These data suggest that SS neurons in the cortex are spared following MAM treatment at GD 15.

Animals↗