Correlation between response and variables was analyzed using the logisticregressionmodel.
2
Association analyses were conducted applying Fisher's exact test and logisticregressionmodel.
3
A multivariable logisticregressionmodel was used to identify factors associated with CKD.
4
Analyses of efficacy were carried out with multilevel mixed effect logisticregressionmodel.
5
Genetic risk factors for suicidality were examined in a multinomial logisticregressionmodel.
1
Study design: This is a cross-sectional survey study using multivariate ordered logitregression models.
2
A stepwise logitregression procedure was performed in order to determine the subset of measures which best distinguish ARMS subjects from HC.
3
HIV stigma was not found to be a significant predictor when binary logitregression was run with medication adherence at 1 year.
4
Our findings are tempered by a small sample size and lack of a direct relationship between stigma and adherence on binary logitregression analysis.
5
A logitregression was used to estimate the association between hospital characteristics (bed size, location, teaching status, ownership) and having any hospital-affiliated cessation program.
1
A multivariate logisticmodel was used to identify predictors of fetal complications.
2
Conclusion: The logisticmodel that we developed meets high standards for discrimination and calibration.
3
The propensity score was used as a covariate in a logisticmodel for mortality.
4
The model is a modification of the Olson conditional logisticmodel for affected relative pairs.
5
We developed a multivariable logisticmodel to identify factors associated with candidaemia in patients with candiduria.
1
Polytomous logisticregression was used to compare each case group with controls.
2
Multivariate logisticregression analysis was used to define risk factors for infection.
3
Multivariable logisticregression was used to investigate risk factors associated with ADRs.
4
Independent risk factors for early mortality were calculated using multivariate logisticregression.
5
Multivariable logisticregression was used to examine factors related to HIV infection.
1
Two multivariable logisticmodels were evaluated to predict the likelihood of PSMs.
2
Multivariable three-level logisticmodels with random intercepts were run separately by sex.
3
Multivariable logisticmodels were used after adjusting for potentially confounding factors.
4
Strength of associations was assessed using odds ratios derived from conditional logisticmodels.
5
Results: Five logisticmodels were fitted for the resistance to each of the antibiotic drugs.
Uso de logit model em inglês
1
Attributes were analyzed by conditional logitmodel to determine significant predictors of patient preferences.
2
A multinomial logit and a latent class logitmodel was used for the data analyses.
3
The analysis relies on a conditional logitmodel to identify the relationship between price and brand choice.
4
An ordered logitmodel was used to assess the relationship between sociodemographic factors and the number of DAREs performed.
5
The probability of having a pregnancy complicated by pre-eclampsia was also calculated by means of a multivariate logitmodel.
6
Multivariate analysis of these data, using the logitmodel, confirmed the association with both previous primary cancer and previous radiation.
7
We take a new approach by phrasing the problem as a discrete choice, using a nested multinomial logitmodel for the analyses.
8
Analyses were conducted using a mixed logitmodel, and the trade-offs between different attributes that patients were willing to accept were quantified.
9
An ordered logitmodel will be used to regress an ordinal active play outcome on built environment exposure variables while adjusting for potential confounders.
10
After adjustment for patient characteristics, the logitmodel showed that prescription patterns for antibiotic were quite similar and associated with a diagnosis of acute tonsillitis.
11
From the DCE data, a conditional logitmodel was estimated to calculate total scores that took into account the relative importance of the seven domains.
12
Multivariate logitmodels evaluated in-hospital mortality, complications, and prolonged length of stay.
13
Multinomial and mixed logitmodels were used to model preferences within 4 subgroups.
14
Analyses used gender-stratified hierarchical logitmodels to assess program participation and other potential predictors.
15
Methods: Partial proportional odds logitmodels were developed for probabilities of being in GOLD stages II, III and IV.
16
Mixed logitmodels were used for analysis and to predict the uptake of rural posts under different incentive combinations.