Stepwise logistic regression model
Periodontal disease-associated micro-organisms in peri-menopausal and post-menopausal women using or not using hormone replacement therapy. A two-year follow-up study
... 13.0). Stepwise logistic regression analyses were made to study the explanatory factors for the positive periodontal microbial ...backward stepwise logistic regression ...
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Report of depressive symptoms on waiting list and mortality after liver and kidney transplantation: a prospective cohort study
... in logistic mod- els, two series of multivariate models were ...a stepwise logistic regression model, which minimized the Akaike Informa- tion Criterion ...the model improves ...
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Residual symptoms and functioning in depression, does the type of residual symptom matter? A post hoc analysis
... A stepwise logistic regression model with normal functioning (Social and Occupational Functioning Assessment Scale ≥ 80) as the dependent variable was ...
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Statistical Analysis of Variables Influencing Type of Birth in Sri Lanka: A Logistic Regression Approach
... variables. Logistic regression was used to model the da- ta and using stepwise regression; mother’s age, height and weight were identi- fied as the most influential variables on the ...
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The Development of an Alternative Method for the Sovereign Credit Rating System Based on Adaptive Neuro Fuzzy Inference System
... using stepwise regression analysis; logistic regression analysis, artificial neural network and ANFIS model were implemented in order to determine the relationship of selected variables ...
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Selected acute phase CSF factors in ischemic stroke: findings and prognostic value
... multiple logistic regression (forward stepwise conditional model) was used when all acute phase factors and stroke risk factors were entered into the ...in regression analysis as ...
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LOGISTIC REGRESSION MODEL FOR PREDICTION OF BANKRUPTCY
... Then stepwise logistic regression was carried out to identify the factors which are jointly responsible for the successive level of the ...bank. Stepwise logistic regression was ...
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Vol 22, No 1 (2018)
... Bivariate logistic regression was performed to determine the association between the predictor variable of TPB and education, age, gender, FGM status of females in the household and location of residence of ...
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Are there independent predisposing factors for postoperative infections following open heart surgery?
... pneumonia, 9 patients (5.23%) had bacteremia, one patient (0.58%) had mediastinitis, one (0.58%) had harvest surgical site infection, one (0.58%) had urinary tract infection, and another one patient (0.58%) had other ...
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Predictive Modeling of the Brand Equity: Analysis Based on Multiple Logistic Regression and Backward Stepwise Model Selection Methods
... multiple logistic regression model that predicts the probability of Brand Equity (BE) using awareness, recall, relate, purchase, knowledge, trials, association, recommendations, salience, imagery, ...
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A Model-Based Statistical Classification Analysis for Karamattepe Arrowheads
... Multinomial Logistic Regression Model (Hosmer & Lemeshow 2000) was run with the Stepwise method to include all the variables; however, the procedure could not be completed due to the ...
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Productivity modeling of precast concrete installation using multiple regression analysis
... predicted model will usually include all of the variables (unless a variable is below the tolerance criterion - ...Usually stepwise method provides robust models by including most of the significant ...
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A Logistic Regression Model of Determiner Omission in PPs
... binary logistic regression does not pro- hibit monocausal explanations, typical models for binary logistic regression employ more than one factor, and the value of the coefficients mod- els ...
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The Effects of Code-Switched Advertisements on Hispanic Consumers’ Attitudes and Purchase Intentions
... We use data collected at the San Francisco International Airport (SFO). A questionnaire was designed by SFO staff and was filled out by flyers from a random sample of flights. All airport terminals at SFO, and all ...
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Knowledge, attitudes and behaviour of hospital health care workers regarding influenza A/H1N1: a cross sectional survey
... in Model 3. The stepwise selection procedure with a forward method was used, and a significance level of ...multivariate regression models and ...
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Seropositivity to Helicobacter pylori: lack of association with length of hospitalization
... For the internal medicine wards, the results of the stepwise logistic regression ELISA treated as positive or negative showed that length of stay was not a significant risk factor for se[r] ...
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Prevalence of gestational diabetes and associated maternal and neonatal complications in a fast-developing community: global comparisons
... child. Stepwise logistic regression revealed that advanced maternal age, obesity, family history of diabetes, antepartum hemorrhage, cesarean section, and macrosomia were significant associated risk ...
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Some new proposed ridge parameters for the logistic regression model
... The parameter estimation method that based on the minimum residual sum of squares is unsatisfactory in the presence of multicollinearity. In (1970) Hoerl and Kennard introduced an alternative estimation approach which is ...
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Intellectual capital and its determinants in Italian listed companies
... two regression models: a logistic regression model and a Tobit regression model in which the dependent variable is the market to book ratio and the independent variables are ...
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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 was done to find out the predictors of microalbuminuria which revealed age (>50 years), LDL (>100mg/dl), Triglycerides (>150mg/dl), ...
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