In this paper, we consider semiparametric varying coefficient partially linear models when the predictor variables of the linear part are ultra-high dimensional where the dimensionality grows exponentially with the sample size. We propose a profile forward regression (PFR) method to perform variable screening for ultra-high dimensional linear predictor variables. The proposed PFR algorithm can ...

Rationale Frequently decision-making situations require modeling of relationships among business variables. For instance, the amount of sale of a product may be related to its advertising expenditures for marketing, the health of the economy as measured by the stock market performance, and the number of sales people etc? The regression analysis provides tools for modeling a "response" variable ...

In a German multicenter treatment study, 354 patients with schizophrenia and schizoaffective disorder were followed for 2 years. The data collected were taken as a basis for the present predictor study. For the first time, the technique of classification and regression tree (CART) analysis has been employed for this purpose. CART yielded informative data and appeared to be a useful instrument i...

In this paper, we consider the prediction problem in multiple linear regression model in which the number of predictor variables, p, is extremely large compared to the number of available observations, n. The least squares predictor based on a generalized inverse is not efficient. We propose six empirical Bayes estimators of the regression parameters. Three of them are shown to have uniformly l...

Recent methodological research has addressed the important issue of sample size at each level when estimating multilevel models. Although several design factors have been investigated in these studies, differences between continuous and binary predictor variables have not been scrutinized (previous findings are based on models with continuous predictor variables). To help address this gap in th...

background: e-learning could increase efficiency teaching process and higher quality of education. the aim of this study was to determine the factors related to elearning intention based on the adoption technology model (atm). methods: this cross-sectional study, conducted among 150 faculty members of kermanshah university of medical science. participants were randomly selected to participate v...

the logistic regression (lr) method, as an empirical estimation method, was used to model urban growth in gorgan city between the years 1987-2001. three groups of variables including social-economic, land use and biophysical variables were used. similarity among variables is probable. to remove the correlated variables, covariance was calculated and distance to administrative, sporting centers ...

Background: Fertility is one of the important subjects in public health and demographic studies which affects population growth. The main objective of this paper was to introduce and apply a tree model to classify the ideal number of children and children ever born in the study of "Marriage and Fertility Attitudes of Married 15-49 Years Old Women in Semnan Province in Iran, 2012". Methods: Cla...

SUMMARY The importance of good patient selection is becoming increasingly appreciated as a predictor of good outcomes following mastectomy and reconstruction. There are many variables that should be considered when making these decisions. Patient variables include breast characteristics, age, body habitus, comorbidities, and expectations. Oncological variables include tumor size, cancer stage, ...