logistic regression
MULTIPLE LOGISTIC REGRESSION MODEL TO PREDICT RISK FACTORS OF ORAL HEALTH DISEASES
... the logistic regression model is an appropriate model, which is a part of generalized linear ...in logistic regression; instead, the logistic regression function is used, which ...
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Multinomial logistic regression in worker’s health
... Using the multinomial logistic regression procedure, we have constructed a model for predicting workers’ opinions about their GHP. According to the adjusted model, passing from the reference category ...
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A logistic regression model for predicting the occurrence of intense geomagnetic storms
... A logistic regression model is implemented for predicting the occurrence of intense/super-intense geomag- netic ...that logistic regres- sion models can be effectively used for predicting the occur- ...
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Factors associated with preventable infant death: a multiple logistic regression
... METHODS: This analytical cross-sectional study had preventable child mortality as dependent variable. From a population of 34,284 live births, we have selected a systematic sample of 4,402 children who did not die ...
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Robust Logistic Regression to Static Geometric Representation of Ratios
... using Logistic and Robust Logistic Regression Analysis to illustrate that this new transformation will produce more accurate prediction statistically and can be used as an alternative for common ...
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Developing a Referral Protocol for Community-Based Occupational Therapy Services in Taiwan: A Logistic Regression Analysis.
... the regression analysis was to find one or more parsimonious regression models that fit the observed data well enough to estimate the effect or predict the ...the regression analysis, basic ...
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Abnormally wide confidence intervals in logistic regression: interpretation of statistical program results
... A logistic regression of variable y over the qualitative variable x was per- formed by each ...A regression model was obtained from each pro- gram, and an attempt was made to predict the coefficients ...
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Importance of agronomic traits in the individual selection process of sugarcane as determined using logistic regression
... using logistic regression and decision trees to identify the best ...(T2). Logistic regression was applied to both ...a logistic regression selected 153 individuals in T1 and 79 ...
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Using Binary Logistic Regression to Explain the Impact of Accident Factors on Work Zone Crashes
... binary logistic regression models to identify the most significant factors influencing work zone ...binary logistic regressions were performed for the analysis of Portuguese work zone crashes by the ...
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A Tutorial on Logistic Regression
... many logistic regression models that are not of the standard form as given earlier (Agresti, 1990, and Strauss, ...PROC LOGISTIC to do the estimation, for others you may have to resort to other ...
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STORE PATRONAGE: THE UTILITY OF A MULTI-METHOD, MULTI-NOMIAL LOGISTIC REGRESSION MODEL FOR PREDICTING STORE CHOICE
... The model provides detailed comparisons between individual supermarkets at the level of the individual groups, information that is invaluable for obtaining a detailed [r] ...
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Revisit of Logistic Regression
... In the experimental results on multi-class classifications using various datasets, the proposed methods exhibit favorable performances in terms of classification accuracies and computati[r] ...
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Cad. Saúde Pública vol.25 número12
... using logistic regression: sociodemographic and psychiatric variables, obstetric factors, obstetric complications during current pregnancy, medi- cal history, stressful life events, and exposure to ...
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Pesqui. Oper. vol.35 número1
... analysis, regression trees, logistic regression, logistic regression with state-dependent sample selection, bounded logistic regression and neural networks are among the ...
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Evidence of dengue virus transmission and factors associated with the presence of anti-dengue virus antibodies in humans in three major towns in Cameroon.
... Methodology/Principal Findings: A cross sectional survey was conducted in Douala, Garoua and Yaounde, using a random cluster sampling design. Participants underwent a standardized interview and were blood sampled. ...
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Arq. Bras. Cardiol. vol.97 número2 en v97n2a13
... multiple logistic regression for the association between overweight/obesity with other cardiovascular risk factors, found an association between overweight/obesity with family income, systolic blood ...
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Recovery of renal function among ESRD patients in the US medicare program.
... A multivariable logistic regression model using patient characteristics that were likely to be associated with sustained renal recovery including demographics (age, gender, race[r] ...
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Einstein (São Paulo) vol.15 número1
... a logistic regression model, we found the following independent risk factors for mortality in ventilator-associated tracheobronchitis patients: Acute Physiology and Chronic Health Evaluation I score (odds ...
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Patient and regimen characteristics associated with self-reported nonadherence to antiretroviral therapy.
... To construct our model, we first examined correlation coefficients of all pairs of putative explanatory variables. Where significant correlations existed, we removed one of the two correlated variables from ...
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Análise bayesiana do funcionamento diferencial do item.
... Analysis of Differential Item Functioning (DIF) Using Hierarchical Logistic Regression Models. Detection of Differential Item Functioning Using the Parameters of Item Response[r] ...
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