background: the best management for an ovarian mass is provided by appropriate prediction of malignancy. the aim of our study is to construct and validate a new malignancy probability score based on four simple sonographic findings and age. methods: in a cross sectional study; histopathological files of 3303 ovarian mass patients and tertiary hospitals, have reviewed within 6 years (2000-2006)....

A matched case-control design is a common approach used to assess diseaseexposure relationships, and is often a more efficient method than an unmatched design. However, for the valid analysis of such an approach, a modeling technique that incorporates the matched nature of the data is needed. This prohibits the use of a standard unconditional logistic regression analysis generally available in ...

Logistic regression is a popular tool among epidemiologists and other data analysts and while the SAS~ system is widely used, few investigators make use of the readily available plots that assess model fit. The purpose of this presentation is to demonstrate the steps necessary to generate these plots. We provide a brief overview of logistic regression diagnostics and introduce a sample data set...

Background: Previous literatures have indicated that log-binomial regression model is an alternative for the logistic frequent occurrence of event outcome. The comparison performance these two models has been found with reference to clinical/epidemiological data. Nonetheless, application and its poverty data not described. 
 Objective: To compare in terms variable selection, effect size, p...

OBJECTIVES The aim of this study was to compare and evaluate the quality of CA 125, HE4, logistic regression model based on CA 125 and HE4, and ROMA algorithm in preoperational differential diagnostics of the ovarian tumors. MATERIAL AND METHODS To the study 110 patients enrolled. Based on histopatological examination of removed tumors, they were divided into study group (56 cancer patients) ...

The goal of supervised learning is to build a concise model of the distribution of class labels in terms of predictor features. Logistic regression is one of the most popular supervised learning technique that is used in classification. Fields like computer vision, image analysis and engineering sciences frequently encounter data with outliers (noise). Presence of outliers in the training sampl...

two forage species alfalfa (medicago sativa), and sainfoin (onobrychis viciifolia scop.), at two consecutive growing season (spring and summer), were studied for their chemical composition and in vitro gas production characteristics. data on cumulative gas production (ml gas/g dm) were fitted to the non-sigmoidal model, and for evaluation of model, the concordance correlation coefficient (ccc) ...

fluorescent monitoring of dna amplification is the basis of real-time pcr. absolute quantification can be achieved using a standard curve method. the standard curve is constructed by amplifying known amounts of standards under identical conditions to that of the samples.the objective of the current study is to propose a mathematical model to assess the acceptability of pcr resulys.four commerci...