i] and a vector of parameters [beta] through the Logit transformation
of equation [z.
These first 2 steps are equivalent to a logit transformation of the TPR and FPR, which is a standard transformation for working with proportions.
17-19) At the lower level, they model the cell counts in the 2 x 2 tables derived from each of the individual studies by using binomial or logit transformations of proportions.
In a logistic regression model the logit transformation
of the probability p(x) is modeled as follows:
For the logit transformation
our idea was to transform the link qualities (which are probabilities and thus reside on interval (0,1)) to the whole real space.
The SROC curve analysis was based on a regression analysis of logit transformation
of the data that plots the difference between the logit of the true-positive rate (TPR) and the logit of the false-positive rate [(FPR); D = logit TPR - logit FPR] on the y axis and the sum (S = logit TPR + logit FPR) on the x axis (8).
We applied a logit transformation to ensure that these variables are unbounded, making a normal distribution of errors possible.
Taking into account the logit transformation that was performed on both variables, it appears that an increase in the commercial-bank Herfindahl index of 0.
jt] represents either a 0/1 indicator variable (charge/no charge) or the natural logarithm of charges, conditional on a positive charge, and f[[ldots]] is either the logit transformation
or a linear function.
is the logit transformation and is a linear combination of the independent variables and a set of coefficients |b.
For further model applications, the variable of interest is the logit transformation (logit), which is the |W.
the polynomial and exponential functions in Gates and Scarpa (1979), Peer (1982), Tucker (1988), Miskawi (1989), Khosrowshahi (1991) and the Logit transformation
formula in Kenley and Wilson (1986).