Exact(2)
The LRFR uses the logistic regression to train the weights to make a decision.
First, it uses the logistic regression models p i to compute the probability that a candidate criterion is of Algorithm 2: LDALR Method Let W = { w i} denote topic proportions, s j ∈ S denote a criterion, and S = { s j | s j ∈ d, d ∈ D}.
Similar(58)
Some studies have categorised it enabling them to use the logistic regression model in their estimation.
All of the logistic regression processes were performed using the logistic regression procedure in SAS 9.2 software (SAS Institute 2002 2003).
We calculated odds ratios (ORs) with 95% confidence intervals (CIs) using the logistic regression model and used the false discovery rate (FDR) method for correction of multiple testing.
Factors associated with AKI were identified using the logistic regression and the area under the receiver operating characteristics curve (AUC).
Table 3 shows the adjusted odds ratios (OR) for the variables using the logistic regression model.
To identify variables independently associated to Mitostatin immunohistochemical levels, backward selection multivariate analysis was performed using the logistic regression model.
Specifically, for a subject, first predict the probability of a nonzero CAC using the logistic regression model.
Virtually any gene-wise variable can be explored from a GSA perspective using the logistic regression model.
To find out the risk factors for presenting at advanced disease stage, we used the logistic regression method.
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