Search results for " Regression"
showing 10 items of 1835 documents
Using the Breeder genetic algorithm to optimize a multiple regression analysis model used in prediction of the mesiodistal width of unerupted teeth
2014
For the prediction of the unerupted canine and premolars mesiodistal size, have been proposed different variants of multiple linear regression equations (MLRE). These are based on the amount of the upper and lower permanent incisors with a tooth of the lateral support. Aim of present study was to develop a method for optimization of MLRE, using a genetic algorithm for determining a set of coefficients that minimizes the prediction error for the sum of permanent premolars and canines dimensions from a group of young people in an area Romania's central city represented by Sibiu. To test the proposed method, we used a multiple linear regression equation derived from the estimation method propo…
258 Helicobacter Pylori Infection in Allergic Children
2010
Background and aims: Studies have suggested that Helicobacter pylori (H.pylori) infection could be considered as a protective factor against development of allergic illnesses. The goal of our study was to compare the prevalence of H. pylori infection in allergic patients and children without allergy. Methods: The total patient sample consisted of 147 children aged 1-10 yrs (mean age 5.2): 58 children had allergy diagnosis and 89 were healthy children or children with minor health problems. Parents were asked to bring a faecal samples of the child and to fill out a questionnaire (demographic data, socio-economical factors). Presence of active H. pylori infection was detected by stool antigen…
Nursing students and depressive symptomatology: an observational study in University of Palermo
2019
Purpose Depression is a common and serious medical illness, considered as a public health issue because it interferes with the interpersonal, social and professional functioning of the individual, and its frequency is constantly increasing. According to a recent review, approximately 34 per cent of nursing students had experienced depression worldwide. The university period may represent a moment in which the mental well-being of students is subjected to stress with a relative predisposition to the development of diseases related to mood disorders. The purpose of this study is to estimate the prevalence and examine the socio-demographic correlates of depressive symptomatology. Design/metho…
Factors Differentiating Rural and Urban Population in Determining Anxiety and Depression in Patients with Chronic Cardiovascular Disease: A Pilot Stu…
2021
The aim of this cross-sectional study was to analyze selected variables differentiating rural from urban populations, as well as identify potentially increased levels of depression and anxiety in patients with chronic cardiovascular disease. The study was carried out in 193 patients. The study used the Camberwell Assessment of Need Short Appraisal Schedule (CANSAS), the Health Behavior Inventory Questionnaire (HBI), the WHOQOL-BREF Quality of Life Questionnaire, and the Hospital Anxiety and Depression Scale–Modified Version (HADS-M). Spearman’s rank correlation coefficient test and logistic regression were used for analyses. In rural patients, we observed a relationship between anxiety and …
INVESTIGATING MARKET POTENTIAL FOR STREAMING SUBSCRIPTION MODEL IN EMERGING ECONOMIES : A CASE OF NIGERIA
2018
Master's thesis Music management MU501 - University of Agder 2018 Building on two marketing theories: the product and marketing concept, this study conceptualizes how music sampling, consumers’ income and attitude affect streaming subscription in Nigeria. The aim is to test whether efficient market for streaming subscription could be developed in emerging economies and contribute to growth in the world digital music markets. The study used a binomial logistic regression to analyse 230 observations obtained from a survey data to estimate a conceptual framework. Results show that music sampling positively affect streaming subscription. Conversely, consumers’ income and attitude are both not s…
Validation procedures in radiological diagnostic models. Neural network and logistic regression
1999
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled. Clinical and CT data were used for LR and NN models. Both models were developed with cross validation, leave-one-out and three different bootstrap algorithms. The final results of each model were compared with error rate and the area under receiver operating characteristic curves (Az). The neural network obtained statistically higher Az than LR with cross validation. The remaining resampling validatio…
The lagged influence of organizations' human resources practices on employees' career sustainability: The moderating role of age
2020
Abstract Research has progressed in theoretically and conceptually defining career sustainability and its indicators. However, research is needed to understand the relationship between those indicators and the way individual and organizational factors contribute to it over time. We add to this literature by considering performance and wellbeing as indicators of sustainable careers. Specifically, we considered patterns in the relationship between performance and wellbeing, used as proxies for a sustainable career, and the effects of different human resource (HR) practices and age on career sustainability. Data came from two waves of 653 employees and their supervisors in 26 organizations in …
Toeholds and takeover probability: implications for investment strategies
2009
PurposeThe purpose of this paper is to propose various toehold indicators and analyse whether the models incorporating these indicators can be used to establish investment strategies.Design/methodology/approachLogistic regression is used to test toehold indicator significance.FindingsThe results reflect that the designed measures are positively correlated to the likelihood of launching a takeover, although the power of the models to predict out‐sample takeovers is moderate, between 60.71 percent and 71.59 percent. The indicators allow us to design strategies which offer positive abnormal returns. In particular, abnormal return over the Fama‐French factors is 0.5 percent.Originality/valueToe…
Feature Selection Approach based on Mutual Information and Partial Least Squares
2014
Feature selection technology can improve the modeling accuracy and reduce model’s complexity, especially for the high dimensional spectral data. Aim at this problem, feature selection approach based on mutual information (MI) and partial least square (PLS) is proposed in this paper. MI values between features and responsible variable are calculated, and the threshold value using to select final features is optimal selected based on PLS algorithm. The numbers of the latent values of the PLS and the threshold value of MI are selected according the modeling performance simultaneously. The experimental results based on the near-infrared spectrum show that the proposed approach has better perfor…
Evaluation of the effect of chance correlations on variable selection using Partial Least Squares -Discriminant Analysis
2013
Variable subset selection is often mandatory in high throughput metabolomics and proteomics. However, depending on the variable to sample ratio there is a significant susceptibility of variable selection towards chance correlations. The evaluation of the predictive capabilities of PLSDA models estimated by cross-validation after feature selection provides overly optimistic results if the selection is performed on the entire set and no external validation set is available. In this work, a simulation of the statistical null hypothesis is proposed to test whether the discrimination capability of a PLSDA model after variable selection estimated by cross-validation is statistically higher than t…