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Significats de logistic models en anglès
rus
логит регрессия portuguès
regressão logística espanyol
regresión logistica català
regressió logística Statistical model.
Termes relacionats
Sinònims
Examples for "logistic regression model"
Examples for "logistic regression model"
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Correlation between response and variables was analyzed using the logistic regression model.
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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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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.
3
The analysis relies on a conditional logit model to identify the relationship between price and brand choice.
4
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.
4
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.
Ús de logistic models en anglès
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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.
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We developed simple logistic models and multinomial logistic models.
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Case-control differences in self-reporting were analyzed with logistic models.
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Based on multivariate logistic models, the nomogram was generated.
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Risk factors were confirmed in multivariate logistic models.
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Multilevel linear and logistic models were constructed adjusting for covariates and accounting for clustering within worksites.
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Ordinal logistic models were applied with three groups of response corresponding to three ordered levels of HIV-risk perception.
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Multivariate logistic models were used to estimate the association between homeless experience and housed patients with readmission following surgery.
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The concordance indices and the Hosmer- Lemeshow statistics of both logistic models indicated a good fit to the observed data.
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The shape of dose-response relationships was assessed using a continuous exposure variable in generalised additive logistic models with penalised splines.
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Backward feature selection was used to identify variables to be included in logistic models for moderate-severe (scores⩾4) urinary symptoms.
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The Baranyi model appeared to fit the overall experimental data better than did the modified Gompertz and the modified logistic models.
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Translations for logistic models
portuguès
català
Logistic models a través del temps
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