Significats de logistic models en anglès

Two multivariable logistic models were evaluated to predict the likelihood of PSMs.

Multivariable three-level logistic models with random intercepts were run separately by sex.

Multivariable logistic models were used after adjusting for potentially confounding factors.

Strength of associations was assessed using odds ratios derived from conditional logistic models.

Results: Five logistic models were fitted for the resistance to each of the antibiotic drugs.

We developed simple logistic models and multinomial logistic models.

Case-control differences in self-reporting were analyzed with logistic models.

Based on multivariate logistic models, the nomogram was generated.

Risk factors were confirmed in multivariate logistic models.

Multilevel linear and logistic models were constructed adjusting for covariates and accounting for clustering within worksites.

Ordinal logistic models were applied with three groups of response corresponding to three ordered levels of HIV-risk perception.

Multivariate logistic models were used to estimate the association between homeless experience and housed patients with readmission following surgery.

The concordance indices and the Hosmer- Lemeshow statistics of both logistic models indicated a good fit to the observed data.

The shape of dose-response relationships was assessed using a continuous exposure variable in generalised additive logistic models with penalised splines.

Backward feature selection was used to identify variables to be included in logistic models for moderate-severe (scores⩾4) urinary symptoms.

The Baranyi model appeared to fit the overall experimental data better than did the modified Gompertz and the modified logistic models.