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
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.
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.
Ús de logistic model en anglès
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.
6
We calculated prevalence ratios by fitting a logisticmodel and estimating predicted probabilities using marginal standardization.
7
A multiple logisticmodel was used to measure the factors influencing men's involvement in antenatal care services.
8
Variables associated with a high BU likelihood in a multivariate logisticmodel were included in the Buruli score.
9
However, this association was no longer found to be significant after adjusting for lifestyle factors in the logisticmodel.
10
Adjusted risks of conversion and severe postoperative morbidity after laparoscopic resection were computed, according to a multivariate regression logisticmodel.
11
The selected variables were assigned an integer or half-integer risk score proportional to the estimated coefficient from the logisticmodel.
12
ARS was developed based on the weighting scores of the parameters of all the predicted variables in the logisticmodel.
13
The effects of different elements of exposure to hardwood (duration, level, period) were studied in detail with a logisticmodel.
14
The logisticmodel linking cumulative AUC with ACR20 adequately characterized the time course of clinical improvement in patients with rheumatoid arthritis receiving etanercept.
15
Results: Convenient expressions for D 50,i and γ 50,i were provided for the Poisson and the logisticmodel.
16
Results: The multiple logisticmodel revealed that the risk of morbidity was increased by longer operation time, major hepatic resection, and preoperative cardiovascular disease.