Abstract Existing ordinal trees and random forests typically use scores that are assigned to the ordered categories, which implies a higher scale level is used. Versions of proposed take seriously avoid assignment artificial scores. The construction principle based on an investigation binary models implicitly used in parametric regression. These building blocks can be fitted by combined similar...

The purpose of this paper is to analyze financial ratios of Australian Mining companies in order to specify and quantify the variables which are effective indicators and predictors of corporate distress. Using financial ratios, the paper explores the quantifiable characteristics of potential bankrupts using cutting edge Recursive Partitioning techniques like Discriminant Analysis, Decision Tree...

Use of human immunodeficiency virus (HIV) drug-resistance testing in therapeutic decision making may be aided by understanding the relationship between results of genotypic and drug-susceptibility phenotypic assays. We investigated this relationship by applying 3 different statistical methods-cluster analysis, recursive partitioning, and linear discriminant analysis-to results for 72 patients f...

Objective: To determine risk factors associated with their length of hospital stay in admitted patients with psychotropic drug overdose. Methods: Demographics, data of physical and laboratory, and hospital stay were analyzed using a linear regression and a recursive partitioning analysis to determine significant risk factors for prolonged hospitalization. Results: In 140 patients (mean age, 35 ...

Large quantities of structure and biological activity data are quickly accumulated with the development of high-throughput screening (HTS) and combinatorial chemistry. Analysis of structure-activity relationships (SAR) from such large data sets is becoming challenging. Recursive partitioning (RP) is a statistical method that can identify SAR rules for classes of compounds that are acting throug...