نتایج جستجو برای: predictive models

تعداد نتایج: 1024605  

پایان نامه :0 1392

nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...

Journal: :international journal of endocrinology and metabolism 0
mahnaz barkhordari department of mathematics, bandar abbas branch, islamic azad university, bandar abbas, ir iran mojgan padyab centre for population studies, ageing and living conditions, umea university, sweden mahsa sardarinia prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran farzad hadaegh prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran fereidoun azizi endocrine research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran mohammadreza bozorgmanesh prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran; prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran. tel: +98-2122409301, fax: +98-2122402463

conclusions herein we have described the stata package “adpredsurv” for calculation of the nam-d’agostino x2 goodness of fit test as well as cut point-free and cut point-based nri, relative and absolute idi, and survival-based regression analyses. we hope this work encourages the use of novel methods in examining predictive capacity of the emerging plethora of novel biomarkers. background a fun...

Dynamic modulus characterizes the viscoelastic behavior of asphalt materials and is the most important input parameter for design and rehabilitation of flexible pavements using Mechanistic–Empirical Pavement Design Guide (MEPDG). Laboratory determination of dynamic modulus is very expensive and time consuming. To overcome this challenge, several predictive models were developed to determine dyn...

Journal: :Environmental Toxicology and Chemistry 1990

Abolfazl Razzaghdoust Afshin Sadipour Bahram Mofid Hamid Abdollahi, Mohsen Bakhshandeh Seied Rabi Mahdavi, Shayan Mostafaei

Introduction: Rectal toxicity is a dose limiting issue in prostate cancer radiotherapy. Prediction of these effects may be used to tailor the therapy. The purpose of this work was to develop predictive radiomic models based on clinical, dosimetric and radiomic features extracted from rectal wall magnetic resonance image (MRI).   Materials and Methods: This st...

Journal: :فصلنامه مدلسازی ریسک و مهندسی مالی 0
مهدی آسیما دانشجوی دکترای مالی، بانکداری، دانشکده مدیریت، دانشگاه تهران، تهران، ایران امیر علی عباس زاده اصل 2. کارشناسی ارشد مهندسی مالی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران

capital asset pricing model (capm) has been among the common models to estimate expected returns rate. since the linearity assumption is considered in the standard version of the capital asset pricing model, estimating beta in nonlinear setting will be inconsistent and bias-oriented. therefore, this study tries to evaluate predictive power of nonlinear capital asset pricing model as well as sta...

Journal: :international journal of endocrinology and metabolism 0
mahnaz barkhordari department of mathematics, bandar abbas branch, islamic azad university, bandar abbas, ir iran mojgan padyab centre for population studies, ageing and living conditions, umea university, umea, sweden farzad hadaegh prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran fereidoun azizi endocrine research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran mohammadreza bozorgmanesh prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, tehran, ir iran; prevention of metabolic disorders research center, research institute for endocrine sciences, shahid beheshti university of medical sciences, p. o. box 19395-4763, tehran, ir iran. tel: +98-2122409301-5, fax: +98-2122402463

results the command is addpred for logistic regression models. conclusions the stata package provided herein can encourage the use of novel methods in examining predictive capacity of ever-emerging plethora of novel biomarkers. materials and methods we have written a stata command that is intended to help researchers obtain cut point-free and cut point-based net reclassification improvement ind...

ژورنال: مدیریت سلامت 2017

Introduction: Meta-heuristic and combined algorithms have a great capability in modelling medical decision making. This study used neural networks in order to predict Type 2 Diabetes (T2D) among high risk individuals. Methods: This study was   an applied research. Data from 545 individuals (diabetic and non-diabetic), in Diabetes Clinic of Hamedan University of Medical Sciences, we...

Journal: :Journal of business and psychology 2012
David P MacKinnon Stefany Coxe Amanda N Baraldi

Business theories often specify the mediating mechanisms by which a predictor variable affects an outcome variable. In the last 30 years, investigations of mediating processes have become more widespread with corresponding developments in statistical methods to conduct these tests. The purpose of this article is to provide guidelines for mediation studies by focusing on decisions made prior to ...

جوهری مجد, وحید, حدائق, فرزاد, سدهی, مرتضی, محرابی, یداله, کاظم نژاد, انوشیروان,

Background & Objective: Mixed outcomes arise when, in a multivariate model, response variables measured on different scales such as binary and continuous. Artificial neural networks (ANN) can be used for modeling in situations where classic models have restricted application when some of their assumptions are not met. In this paper, we propose a method based on ANNs for modeling mixed binary a...

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