Explore chapters and articles related to this topic
Risk factors that increased accident severity at US railroad crossings from 2005 to 2015
Published in Gianluca Dell’Acqua, Fred Wegman, Transport Infrastructure and Systems, 2017
A Wald test is used to test the statistical significance of each of the estimated coefficients (β1, β2, β3, ..., βk). The Wald statistic of asymptotic chi-square distribution is the squared value of the Z statistic and is computed as: wald=[βˆi/SE(βi)]4
Analyzing temporal trends of the factors that increase the risk of rollover in single-vehicle collisions
Published in Journal of Transportation Safety & Security, 2019
A Wald test is used to test the statistical significance of each of the estimated coefficients (β1, β2, β3 … βk) so that a decision may be made on whether the explanatory variable associated with the tested coefficient must be maintained in the model. The Wald statistic of asymptotic chi-squared distribution is the squared value of the Z statistic and is computed as:
A post-market, randomized, controlled, prospective study evaluating intrathecal pain medication versus conventional medical management in the non-cancer, refractory, chronic pain population (PROSPER)
Published in Expert Review of Medical Devices, 2022
Jason E. Pope, Navdeep Jassal, Dawood Sayed, Denis Patterson, Gladstone McDowell, Anjum Bux, Phillip Lim, Eric Chang, Ali Nairizi, Samuel Grodofsky, Timothy R Deer
Statistical significance will be claimed in any formal test if the computed Wald test p-value is equal to or less than 0.0056. We will use the Bonferroni adjustment for multiple analyses to preserve Type I error at 5% level for the secondary analysis with the significance criterion of 0.0056 for each of the secondary outcome (i.e. 0.05/9 outcomes).
Computation of retinal fundus parameters for stroke prediction
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2020
Jeena Raveendran Susha, Sukeshkumar A, Mahadevan K
The score statistic is normally used for determining whether a feature should be included in the model. Wald test (Wald 1945) is used for evaluating the statistical significance of each of the coefficients. The Wald Statistic is defined in Equation (8).