and multinomial logistic regression analysis
Profiling the Importance of Fishing Trips of Saltwater Anglers: A Multinomial Logistic Regression Analysis
... A growing number of research studies has adopted market segmentation approach to analyze recreational anglers’ fishing motivations [5] [3] [8] [1] [9]. No systematic study has been conducted related to understanding ...
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The dynamics of poverty in Mexico: A multinomial logistic regression analysis
... a multinomial logistic regression model, the authors find that household size, household composition and the ethnicity of the household head play an important role in explaining chronic ...
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<p>Early Substance Use Initiation And Psychological Distress Among Adolescents In Five ASEAN Countries: A Cross-Sectional Study</p>
... adjusted multinomial logistic regression analysis, pre-adolescent initiation of cigarette smoking, pre-adolescent initiation of alcohol use, pre-adolescent initiation of drug use and ...
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<p>Unintentional injuries and socio-psychological correlates among school-going adolescents in four ASEAN countries</p>
... adjusted multinomial logistic regression analysis, male sex, experiencing hunger, substance use (alcohol, tobacco, cannabis, amphetamine and soft drinks), school truancy, participating in ...
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The triallelic serotonin transporter gene polymorphism is associated with depressive symptoms in adults with chronic pain
... multivariate multinomial logistic regression analysis adjusted for age, sex, pain severity, pain catastrophizing, and pain anxiety, greater CES-D scores were significantly associated with the ...
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Association between diet and gallstones of cholesterol and pigment among patients with cholecystectomy: a case-control study in Korea
... factor analysis was used to gener- ate dietary patterns based on 25 food ...scores, multinomial logistic regression analysis was performed to calculate odds ratios (ORs) and 95% ...
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Causes and Effect of Occupational Stress and Coping on Performance with Special Reference to Length of Service: An Empirical Study Using Multinomial Logistic Regression Approach
... The manuscript presents the outcome of our research study on effect of oc- cupational stress, coping strategies adopted, length of service and their rela- tion with performance of employees. A survey using an undisguised ...
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A Model-Based Statistical Classification Analysis for Karamattepe Arrowheads
... purpose, Multinomial Logistic Regression was selected; and in order to provide a more coherent prediction, the Multiple Imputation (MI) Method was employed to complete the missing ...
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Incorporating the Multinomial Logistic Regression in Vehicle Crash Severity Modeling: A Detailed Overview
... If a crash result in more than one injury severity category, then the most se- vere category would be considered for reporting. For instance, if a crash resulted in fatal, and property damage, then this crash would be ...
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Regulation of Growth of 7- to 36-Month-Old Children by Energy and Fat Intake in the Prospective, Randomized STRIP Baby Trial
... height regression line (the slow-height-gain chil- dren), 3) the children who grew normally (the normal children; 80% of all children), 4) the 5% of children with the steepest increase in the relative height ...
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How Ties to Professional Support Networks Impact Social Outcomes among Homeless Youth
... used multinomial logistic regression to assess the inequalities in maternal and child nutrition status among the six administrative divisions in ...our analysis, children born to mothers of ...
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Are motorcycle commuters different to those who use car or public transport?
... Multinomial Logistic Regression Results A multinomial logistic regression MNL analysis was set up with mode of travel as the dependent variable and gender, household composition, age, wo[r] ...
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Associations of financial stressors and physical intimate partner violence perpetration
... multivariable regression models were used to estimate the association between each financial stressor, the total number of fi- nancial stressors, and IPV ...in logistic regression, which models the ...
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Who Adopts Agroforestry in a Subsistence Economy?
... Logistic regression model is the best fit when the outcome (dependent) variables are unordered and ...(binary regression model) is the best ...the analysis since the practice was very rarely ...
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An Application on Multinomial Logistic Regression Model
... of Multinomial Logistic Regression model which is one of the important methods for categorical data ...data analysis in many areas, for example health, social, behavioral, and ...primary ...
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A Study on Influential Factors on Building Damage in Kesennuma, Japan from the 2011 Great East Japan Tsunami
... Through multinomial logistic regression, the results found that the number of floors was significantly associated with the damage level; the inundation depth, structural material (reinforced concrete ...
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Application of Multinomial Logistic to Smallholder Farmers’ Market Participation in Northern Ghana
... of multinomial logistic regression model. Analysis of the data in the Northern part of Ghana indicate a very low market participation relative to the national average figure of 36% which ...
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Urban noise analysis using multinomial logistic regression
... noise levels in the morning peak period for all areas with the numbers departing for work.. during that period but the noise levels generated do not correspond quantitatively with the.[r] ...
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Large scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
... to multinomial logistic regression, we managed to shrink the training data while iterating and produce significant saving in computation and memory while preserv- ing the ...
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Does the Method of Amalgamation Affect Cost Inefficiency of the New Municipalities?
... This paper employs two types of estimation. The first is the ordinary least squares (OLS) regression excluding inefficiency variables. OLS regression is the base model for comparison with stochastic ...
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