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Significados de logistic regression model em inglês

russo
логит регрессия
português
regressão logística
espanhol
regresión logistica
catalão
regressió logística

Statistical model.

Termos relacionados
regressão logística
Sinônimos
Examples for "logit regression"
Examples for "logit regression"
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Study design: This is a cross-sectional survey study using multivariate ordered logit regression models.
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A stepwise logit regression procedure was performed in order to determine the subset of measures which best distinguish ARMS subjects from HC.
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HIV stigma was not found to be a significant predictor when binary logit regression was run with medication adherence at 1 year.
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Our findings are tempered by a small sample size and lack of a direct relationship between stigma and adherence on binary logit regression analysis.
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A logit regression was used to estimate the association between hospital characteristics (bed size, location, teaching status, ownership) and having any hospital-affiliated cessation program.
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A multivariate logistic model was used to identify predictors of fetal complications.
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Conclusion: The logistic model that we developed meets high standards for discrimination and calibration.
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The propensity score was used as a covariate in a logistic model for mortality.
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The model is a modification of the Olson conditional logistic model for affected relative pairs.
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We developed a multivariable logistic model to identify factors associated with candidaemia in patients with candiduria.
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Attributes were analyzed by conditional logit model to determine significant predictors of patient preferences.
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A multinomial logit and a latent class logit model was used for the data analyses.
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The analysis relies on a conditional logit model to identify the relationship between price and brand choice.
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An ordered logit model was used to assess the relationship between sociodemographic factors and the number of DAREs performed.
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The probability of having a pregnancy complicated by pre-eclampsia was also calculated by means of a multivariate logit model.
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Polytomous logistic regression was used to compare each case group with controls.
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Multivariate logistic regression analysis was used to define risk factors for infection.
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Multivariable logistic regression was used to investigate risk factors associated with ADRs.
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Independent risk factors for early mortality were calculated using multivariate logistic regression.
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Multivariable logistic regression was used to examine factors related to HIV infection.
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Two multivariable logistic models were evaluated to predict the likelihood of PSMs.
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Multivariable three-level logistic models with random intercepts were run separately by sex.
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Multivariable logistic models were used after adjusting for potentially confounding factors.
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Strength of associations was assessed using odds ratios derived from conditional logistic models.
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Results: Five logistic models were fitted for the resistance to each of the antibiotic drugs.
Pubmed
Uso de logistic regression model em inglês
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Correlation between response and variables was analyzed using the logistic regression model.
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2
Association analyses were conducted applying Fisher's exact test and logistic regression model.
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A multivariable logistic regression model was used to identify factors associated with CKD.
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Analyses of efficacy were carried out with multilevel mixed effect logistic regression model.
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Genetic risk factors for suicidality were examined in a multinomial logistic regression model.
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Factors associated with ID were analysed using multivariate logistic regression model.
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Factors associated with DM were analyzed using a logistic regression model.
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Statistical analysis employed univariate analysis and a multivariate logistic regression model.
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Bivariate analysis was conducted using Pearson's Chi-square, and logistic regression model was run.
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A multiple logistic regression model with generalized estimation equation was used.
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Patients were matched on a propensity score generated from a logistic regression model.
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In the logistic regression model, erythrocyte SOD1 activity was associated with ICU mortality.
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Independent predictors of disease were studied by a logistic regression model.
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Differences were measured with a logistic regression model considering random effects.
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A multivariable logistic regression model was used to identify factors associated with pneumococcal vaccination.
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Risk factors for the primary outcome were assessed in a multivariable logistic regression model.
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