It is possible to calculate the probability associated with the test statistic using formulae, but it is more common to determine the critical values associated with the test statistic using tables available in statistical publications [ 31].
The right panel reports the predicted c-statistic when formula (2), which assumes that the variance of the explanatory variable was the same in those with and without the condition, was used.
We estimated the components of the distribution of age and of the linear predictor from the second logistic regression model that were necessary to predict the c-statistic using formulas (1) and (2).
We calculated the difference in binary c-statistic using the formula difference in binary c - statistic = 0.5 × (change in sensitivity + change in specificity ) NRI >0) and NRI(with two cutpoints) measure the amount of reclassification that occurs when the new predictor is added to a model [ 24].
We measured strength of association by the statistic given in formula (1).
In a recent review of NRI measures, Kerr et al. [ 2] raise concerns about the proposed test statistic and variance formula.
This method combines extreme value probabilities from several tests, commonly known as P values, into one test statistic using the formula given in the following: (7) χ 2 k 2 ~ − 2 ∑ i = 1 k ln p i. Rescaled Sum of Z-Scores (see [ 21 ]).
The phi coefficient, employed to weight diagnostic power of each significant parameter, is a measure of association of two binary variables and is related to the Chi-squared statistic by the formula: φ 2 = χ/ n, where n equals the total number of observations.
As it prepares to release its annual rankings, U.S. News & World Report, which conducts the survey, has dropped from its formula a statistic known as the yield rate.
