Multivariate logistic regression model
Outcomes of High-Risk Pregnancies in Northern Iran: Multivariate Logistic Regression Model
... High-risk pregnant mothers are women with history of chronic diseases (diabetes mellitus, hypertension, cardiovascular disorders, …), history of abortion or stillbirt[r] ...
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Original Article Correlation between CD226 polymorphism (rs763361) and the susceptibility of lung cancer in nonsmoking Chinese population
... The present case-control study is focused on the association between CD226 rs763361 and the susceptibility of lung cancer. The TT genotype is more susceptible to lung cancer than CT/CC genotype in nonsmoking group ...
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jopr12095
... Further, multivariate logistic regression model analyses were performed to examine the differences between removable partial and complete denture wearers to determine the factors affecting ...
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Retrospective analysis of demographic and clinical factors associated with etiology of febrile respiratory illness among US military basic trainees
... stepwise model-building strategy was used to develop the model that included all variables signifi- cantly associated with the main outcome ...the model one at a time and removed if not significant ...
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Maternal oral health status and preterm low birth weight at Muhimbili National Hospital, Tanzania: a case-control study
... Multivariate logistic regression model was developed to examine the association between maternal oral health sta- tus in particular specific periodontal conditions (perio- dontal pockets, ...
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Association between cancer prevalence and use of thiazolidinediones: results from the Vermont Diabetes Information System
... a multivariate logistic regression model, a diagnosis of cancer was significantly associated with TZD use, even after correcting for potential confounders including other oral anti- diabetic ...
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A Multivariate Binary Logistic Regression Modeling For Assessing Various Risk Factors That Affect Diabetes
... of multivariate logistic regression model to assess the effect of various risk factors like age, BMI, meal-regularity and fast-food consumption on the prevalence of diabetes spatially in urban ...
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Brachial–ankle pulse wave velocity, cardio-ankle vascular index, and prognosis
... a multivariate Cox proportional hazards model or multivariate logistic regression model were defined as ...a multivariate Cox proportional hazards model were ...
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Cranial Ultrasound Prediction of Disabling and Nondisabling Cerebral Palsy at Age Two in a Low Birth Weight Population
... In a multivariate logistic regression model of perinatal and postnatal variables, the following factors were found to be significant risk factors for DCP: paren- chymal echodensitieslluc[r] ...
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Predictors of Bacteremia in Febrile Children 3 to 36 Months of Age
... 1). Logistic regression was then used to develop a multivariate model for risk based on variables with P ⬍ ...final multivariate logistic regression model based on ...
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Risk factors for internal anal sphincter dysfunction in Japanese adults
... reviews. Multivariate logistic regression analysis was used to identify independent risk factors for internal anal sphincter ...a multivariate logistic regression model, ...
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PubMedCentral-PMC5278667.pdf
... a multivariate logistic regression model controlling for pertinent confounders (age, inhalation injury, mechanism of injury and ...linear regression to examine hospital length of stay ...
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Multivariate logistic regression analysis using multilevel model
... general regression models may not be ...Appropriate model for the analysis of these data is multilevel models (10, ...linear regression analysis (10, ...of model and statistical ...Multilevel ...
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Complicated malaria: relationship of complications and parasite load to outcome
... 0.351). Multivariate analysis using logistic regression model, to determine the effect of studied variables on final outcome (mortality), revealed no significant influence of studied variables ...
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Association between serum calcium levels and prognosis, hematoma volume, and onset of cerebral hemorrhage in patients undergoing hemodialysis
... In the multivariate logistic regression analyses for the prognosis of cerebral hemorrhage patients, model 1 was only adjusted for age and sex, and parameters of model 2 were determined u[r] ...
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Epidemological profile, risk factors and predictors of mortality of candidemia patients in tertiary care hospital of north india
... condition. Multivariate analysis using logistic regression predictive model summarizing various factors for 30-day mortality in adult candidemia in admitted patients was studied ...
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The adherence to guidelines for preventing CVC related infections: a survey among Italian health care workers
... linear regression model indicating a stronger attitude in physicians, in who knew the CDC main recommendations and correct use of antibiotic ointments, as well as in HCWs needing additional information on ...
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LOGISTIC REGRESSION MODEL FOR PREDICTION OF BANKRUPTCY
... Z model, some studies have been carried out on failure ...both Multivariate Discriminant analysis and Multivariate Regression analysis, and then compared the classification ...The ...
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Some new proposed ridge parameters for the logistic regression model
... Another consideration that is taken into account is the sample size n. Actually, when comparing different estimation methods, increasing the n is supposed to have a positive effect on the MSE, as increasing the n leads ...
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Large scale malaria survey in Cambodia: Novel insights on species distribution and risk factors
... variate regression combining all individual risk factors covariates confirmed the significant effect of the distance- to-forest and distance-to-health-facility (Table ...the multivariate analysis, though it ...
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