Multivariable Regression
Multivariable Regression Analysis for Optimised Mass Calculation of MEX 3D Printed Parts
... Since its introduction in the early 1990s Material Extrusion (MEX) has become the most popular additive manufacturing technology for a variety of applications. One of the reasons of its popularity amongst users is the ...
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Clinical and economic outcomes in an observational study of COPD maintenance therapies: multivariable regression versus propensity score matching
... Logistic regression was used to model the risk for any health care utilization event (OR), and negative binomial and Poisson regression were used to calculate ...PSM regression models contained only ...
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The association between iliocostal distance and the number of vertebral and non vertebral fractures in women and men registered in the Canadian Database For Osteoporosis and Osteopenia (CANDOO)
... women multivariable regression analysis showed that iliocostal distance was negatively associated with the number of vertebral fractures ...men, multivariable regression analysis did not ...
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Breakdown of lung framework and an increase in pores of Kohn as initial events of emphysema and a cause of reduction in diffusing capacity
... linear regression analysis to estimate the effect of these data on pulmonary function ...In multivariable regression analysis, a decrease in the number of FUs without an alveolar wall led to a ...
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Medium Term Electric Load Forecasting Using Multivariable Linear and Non Linear Regression
... implementing multivariable regression on previous year’s hourly ...Three regression models are investigated in this research: the linear, the polynomial, and the exponential ...
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Effect of patient’s age on the profitability of inpatient cardiac catheterization: a contribution margin analysis of frequently performed procedures over a 5 year period
... A multivariable stepwise regression model was used to describe the relation- ship between key indicators of resource consumption and profitability as material costs, variable costs, con- tribution margins ...
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<p>Multivariable Logistic Regression And Back Propagation Artificial Neural Network To Predict Diabetic Retinopathy</p>
... Statistical Program for Social Sciences (SPSS, Version 20.0, IBM) for windows was used for statistical analysis. BP- ANN model was established by the neural network toolbox in MATLAB 2010 alpha software. Continuous ...
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Thesis.pdf
... using multivariable regression models adjusting for maternal age, maternal race (non-Hispanic black, non-Hispanic white, and other), smoking status (current smoker vs current non-smoker) and gestational age ...
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New nonlinear multivariable model shows the relationship between central corneal thickness and HRTII topographic parameters in glaucoma patients
... nonlinear multivariable regression method, with which the model of equation (1) has been constructed, describing the relationship between CCT and ONH structural parameters in eyes with established ...
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Assessment of subjective emotional valence and long lasting impact of life events: development and psychometrics of the Stralsund Life Event List (SEL)
... univariate multivariable linear regression analyses, the associations between the basic number, total number, proportion, emotional valence at the time of the interview and present impact of positive and ...
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Immune Markers Predictive of Neuropsychiatric Symptoms in HIV-Infected Youth
... Data analysis and statistical methods.Data were analyzed using Stata version 12.1 (2011; StataCorp, College Station, TX). The REACH data set contained a checkerboard of missing data among predictor variables, out- come ...
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Prevalence and Associated Factors of Induced Abortion Among Women of Reproductive Age Group in Gondar Town, Northwest Ethiopia
... Abstract: Background:Abortion is the termination of pregnancy by the expulsion of a fetus or embryo from the uterus before viability. An estimated 56 million induced abortions occurred worldwide each year. Ethiopia has ...
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Time to publication among completed diagnostic accuracy studies: associated with reported accuracy estimates
... the multivariable Cox regression analysis for Youden’s index, two additional variables were also sig- nificantly associated with time from completion to ...
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Contrasting evidence to reimbursement reality for off-label use (OLU) of drug treatments in cancer care: rationale and design of the CEIT-OLU project
... use multivariable logistic regression techniques to investigate the association of approval/rejection of a reimbursement requests to the evidence on treatment effects and to further factors, including type ...
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Factors affecting providers’ delivery of intermittent preventive treatment for malaria in pregnancy: a five country analysis of national service provision assessment surveys
... Exploratory data analyses suggested that the relation- ship between the outcome and week of pregnancy was not linear. The functional form of this variable was hence modelled using a cubic b-spline with five degrees of ...
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Statins Effects on Diabetic Retinopathy Among Patients with Type 2 Diabetes Mellitus
... DR. Multivariable Cox proportional hazard regression modelling reported a significant statistical risk of statins, HbA1c control, hypertension, diabetic time and medications adherence for diabetic ...
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The vertical hip fracture – a treatment challenge A cohort study with an up to 9 year follow up of 137 consecutive hips treated with sliding hip screw and antirotation screw
... Logistic regression to evaluate fac- tors associated with risk for ...a multivariable model with all independent variables was used to study the adjusted ...
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Establishing a hospital transfusion management system promotes appropriate clinical use of human albumin in Japan: a nationwide retrospective study
... the multivariable logistic regression analysis show that patients who were admitted to hospitals with an established hospital transfusion department introducing good practice criteria of blood products were ...
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Risk Factors for the Development of Bladder and Bowel Dysfunction
... used multivariable logistic regression to determine the independent effects of sex, baseline percentile BMI, cohort status (Randomized Intervention for Children with Vesicoureteral Reflux versus Careful ...
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Patient expectations and their satisfaction in the context of public hospitals
... pre- and postconsultation expectation mean scores were calculated by summing scores for each of the individual domains. Paired-samples t-test was used to compare the mean difference between pre- and postconsultation ...
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