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The model estimation exercise considers a whole host of variables including geometric design attributes, roadway attributes, traffic characteristics and environmental factors.
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The study power calculations based on pharmacometric models historically often rely on simulation and estimation exercises which can be very time consuming and, therefore, not extensively used.
The parameters from the modeling exercise are validated using a hold-out sample not considered for model estimation.
Table 1 Results of model estimation.
Table 13.10: Data for parameter estimation exercise.
We also perform a structural estimation exercise to control for heterogeneity in risk attitudes.
Maximum-likelihood methods were used for model estimation.
Model estimation.
Joint model estimation also yielded similar results.
Model estimation was also conducted in STATA.
Model estimation was performed using maximum likelihood.
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