binary logistic regression (blr) has been developed as non-linear models to establish quantitative structure- activity relationships (qsar) between structural descriptors and biochemical activity of carbonic anhydrase inhibitors. using a training set consisted of 21 compounds with known ki values, the model was trained and tested to solve two-class problems as active or inactive on the basis of...

wild goat (capra aegagrus) is one of the most prominent mountain mammals dispersed in many habitats in iran. however, few studies on the relationship between this species and its habitat have been conducted. this species is recognized as one of the main food source for highly endangered species such as cheetah and leopard. in this study which lasted from fall 2009 through summer 2011, seasonal ...

in many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. this relationship is referred to as profile. in the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the ...

1. The Effect of Response Level Ordering on Parameter Estimate Interpretation 2. Odds Ratios 2.1 Binary Explanatory Variable Modeling the Event 2.2 Binary Explanatory Variable Modeling the Nonevent 2.3 Continuous Explanatory Variable 3. Predicted Probabilities 4. Predicted by Observed Classification Tables 4.1 Classification Using Predicted Probabilities 4.2 Classification Using Bias-adjusted P...

Standard inference techniques are only valid if the design is ignorable. Two approaches that take the design into account are compared using binary logistic regression. The modelbased approach includes relevant design variables as independents and the designbased approach use design weights. The approaches are exemplified using a cross-sectional stratified mail survey, where associations betwee...

We develop statistical methods for phylogenetic logistic regression in which the dependent variable is binary (0 or 1) and values are nonindependent among species, with phylogenetically related species tending to have the same value of the dependent variable. The methods are based on an evolutionary model of binary traits in which trait values switch between 0 and 1 as species evolve up a phylo...