Logistic regression models
Rev. Saúde Pública vol.46 número2
... binary logistic regression models were devel- oped taking the EQ-VAS scale (dichotomous) as the dependent variable to predict good self-perceived health ...the models when adding other adjust- ...
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Prod. vol.26 número2
... Markov models to evaluate credit card risk by investigating the characteristics of different state transitions in client-institution relationships over time, thereby generating score models for various ...
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Crenças e atitudes educativas dos pais e problemas de saúde mental em escolares
... (64.8%). Logistic regression models showed that the act of hitting the child with a belt was associated to conduct problems and to overall mental health problems among schoolchildren in the presence ...
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Digital elevation model quality on digital soil mapping prediction accuracy
... elevation models (DEM) used in digital soil mapping (DSM) are commonly selected based on measures and indicators (quality criteria) that are thought to reflect how well a given DEM represents the terrain ...
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Women's Knowledge, Attitudes and Behavior about Maternal Risk Factors in Pregnancy.
... multivariate logistic regression models were per- formed to assess the contribution of the variables to the outcomes of ...all models, the following independent variables were included: age ...
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Long Term Clinical Prognostic Factors in Relapsing-Remitting Multiple Sclerosis: Insights from a 10-Year Observational Study.
... relapses occurred by the respective time intervals. Comparisons were made by analysis of vari- ance (ANOVA) for independent samples and Chi-Square tests as appropriate. A two tailed p- value < 0.05 was considered ...
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Artigo01 CManso English
... binary logistic regression models to characterize the factors associated with the self-perception of oral health, considering the sociodemographic variables and the older adults’ clinical conditions ...
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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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Clinics vol.66 número2
... a logistic regression analyses ...the logistic regression models: gender, bereavement, living alone, perceived lack of social support, life events in the last 2 years, socioeconomic ...
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Factors associated with stages of change for red meat and vegetable intake by Japanese-Brazilians
... Stages of change assess individual motivation for lifestyle changes, contributing to the devel- opment of more effective intervention strategies. The objective of the present study was to identify factors associated with ...
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Braz. J. Oral Sci. vol.13 número4
... Multivariate Logistic Regression Analysis were ...multivariate logistic regression models were created (G-MPD and G-DD) to identify significant associations with occlusal factors and ...
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ANA ISABEL VALENTE DA CRUZ E SANTOS FERREIRA Thesis for the degree of Doctor in Medicine In the Specialty of Clinical Investigation at NOVA Medical School | Faculdade de Ciências Médicas
... binary logistic regression was used to estimate crude and adjusted Odds Ratios ...binary logistic regression models and Receiver Operating Characteristic (ROC) curves were ...
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CoDAS vol.26 número5
... Two logistic regression models were developed aiming to verify the possibility of predicting the VP closure using the following characteristics: rating of VP closure (adequate, borderline, ...
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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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Pesqui. Oper. vol.35 número1
... classification models in order to reduce the risk of wrong decisions when granting credit facilities to ...naive logistic regression model, a logistic regression with state-dependent ...
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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 ...
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Arq. Bras. Cardiol. vol.87 número4
... variables. Logistic regression models were constructed including clinical variables (age, diabetes mellitus, sex, systemic hypertension, dyslipidemia, smoking, clinical manifestations, previous ...
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Zero-Inflated Mixed Poisson Regression Models
... Essentially, we can say that count data with many zeros can be found in several fields, as mentioned by almost all of the authors, previously cited, in their works. For instance, Ridout et al. (1998) made a review ...
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Biodiversity patterns along ecological gradients: unifying β-diversity indices.
... by regression of b-diversity indices against one or more ecological ...such, regression analysis of b-diversity indices against ecological gradients can result in regression curves that extend beyond ...
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Regression Models for Predicting Force Coefficients of Aerofoils
... However, it was found out that the difference in the actual values of the lift and drag coefficients (in these zones) and that estimated by the trigonometric functions in these zones were giving reasonably good fit when ...
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