Stepwise multiple regression analysis
Use the right words An observational study over the association between communication skills and errors of aircraft pilots
... This study has some limitations, which should be considered in the conclusions. The observation study takes place in fully-flight simulators. These simulators are the best option to simulate a flight in a real aircraft, ...
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The relationship between difficulties in emotion regulation and dysfunctional technology use among adolescents
... Additionally, stepwise multiple regression analysis pointed out that the lack of effective emotion regulation strategies is a common risk factors between the problematic new technologies use, ...
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Effects of Biological and Social Factors on the Cognitive Development of Very Low Birth Weight Children
... Stepwise multiple regression analysis was used to determine how well biological (neonatal cerebral ultrasonographic findings and neurological score) and sodal factors (sociodemo- graphic[r] ...
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Modeling spatial patterns of fuels and fire behavior in a longleaf pine forest in the Southeastern USA
... a stepwise multiple regression analysis revealed that pre-burn standing fuel loads and fire temperature indices together explained only 19% of the variation in post-burn standing fuel loads in ...
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Risk Factors for HIV 1 seroconversion among Taiwanese men visiting gay saunas who have sex with men
... A stepwise multiple regression analysis revealed that role played during anal intercourse, the number of sexual partners during each sauna visit, and the circumcision status were risk factors ...
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Genetic and phenotypic association of the carnauba palm tree evaluated by inter-simple sequence repeat and biometric traits
... ABSTRACT. The carnauba palm Copernicia prunifera is the third most important non-timber forest species in Brazil; it is mainly known for the production of carnauba wax. We examined intra- population genetic diversity and ...
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Apolipoprotein AIV gene variant S347 is associated with increased risk of coronary heart disease and lower plasma apolipoprotein AIV levels
... practice. Stepwise multiple regression analysis was performed entering all the variants and correcting for established risk factors and then ...
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Analysis Of The Influence Factors In Modelling The Energy Use In Factory 1,FTK Using Stepwise Multiple Regression
... using stepwise multiple regressions. Multiple regressions are an easy to follow regression ...of multiple regression is to enable a researcher to assess the relationship between ...
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Prevalence and predictors of microalbuminuria in patients with type 2 diabetes mellitus: a cross sectional observational study in Bangladesh
... backward stepwise multiple logistic regression analysis model indicated that significant predictors for the development of microalbuminuria include age (>50 years; OR: ...
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Modeling of heating value of municipal solid waste based on ultimate analysis using multiple stepwise regression linear in Semarang
... Eq. (19) shows that C and H positively contribute to HHV (as depicted in Figure-1a and b). These are also observed in Table-1, except for Eq. (6) and (7), in which carbon is the most significant predictor. Eq. (19) also ...
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Productivity modeling of precast concrete installation using multiple regression analysis
... different regression models for preparation, lift, and fixing ...and stepwise regression techniques were utilized in model developments and the significant factors to build the models were identified ...
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Predictive variables of motivation and barriers for the practice of physical exercise in adolescence
... Within the framework of health, it is rightly considered that physical exercise reduces risk factors and contributes significantly to quality of life. So, the goal of this study was to find the predictive capacity of the ...
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Decline in lumbar extensor muscle strength in older adults: correlation with age, gender and spine morphology
... a regression equa- tion are limited based on the sample size, BMI was not included in the final regression ...The stepwise multiple linear regression analysis results for the ...
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Predictive Modeling of the Brand Equity: Analysis Based on Multiple Logistic Regression and Backward Stepwise Model Selection Methods
... a Multiple Logistic Regression (MLR) ...the analysis process, the author developed a Multiple Logistic Regression (MLR) model, tested the model error, predicted the brand equity of ...
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Estimating Tropical Forest Structure Using a Terrestrial Lidar
... org). Multiple regression models using forward stepwise regression with Bayesian information criteria (BIC) for variable inclusion in the model were developed using field-measured forest ...
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A. Multiple regression analysis
... 11-gene chromosomes. One additional gene is the constant term. However, GA models do not provide the good forecasts. One possible reason is that the GA models used all ten indicators which some of them may not be ...
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Evaluation of School Based Assessment Teacher Training Programme
... of multiple regression analysis (Stepwise) involved five independent variables (reaction) on the dependent variable of teachers’ attitudes after attending the SBA in-service ...
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The mitochondrial genome of the honeybee Apis mellifera: complete sequence and genome organization.
... Multiple stepwise regression analysis of the predicted products of the protein-encoding genes shows a significant association between the numbers of occurrences of amino acids an[r] ...
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ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR NETWORKS (WSNS)
... Regression analysis is a quantitative study, which mainly studies the dependent degree of the dependent variable on the independent variable, analyses the correlation among the variables and provides basic ...
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Determining diseases influencing mortality of under five years children inGazira state
... The aim of the study is to find out the most important diseases influencing child mortality in Gazira state "Sudan"from five diseases(diarrhea, Malaria, Pneumonia, Meningitis and Measles). Thesediseaseswere ...
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