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‡p values for β-coefficient.
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‡p values for β-coefficients.
Marginal rate of substitution values = β-coefficient for significant attribute/β-coefficient for journey time.
A robust estimator of maximum likelihood is achieved by an iterative procedure of adjusting the predicted values with the observed values, resulting in a β-coefficient value for each connection.
Value of β coefficient for each variable in the model is listed in the columns.
By definition, the reference group has a β-estimate of zero so that the value of the β-coefficient corresponds to the difference in scores for each dimension and category compared to the reference category.
To derive an integer value for each predictor, the β-coefficient of patients younger than 60 years was used as reference and the value was rounded to the closest integer.
This was done in a similar manner as for the clustering coefficient STM, i.e., s β (x ) = ∑ i ∖ x K x, i β s β (x, i ) As values for β, we empirically choose a grid of size 20.
For the subsequent analyses we used the best lag week, which had the smallest p-value for coefficients β among the four models of different lag weeks for each outcome.
It reinforces the statistical power and the precision of the calculated β-coefficient values.
The average overlap coefficient value for β-actin with both RNA polymerase II and hnRNP U is 0.95.
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