Exemplos de uso de Logistic analysis em Inglês e suas traduções para o Português
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
Operational and logistic analysis to reduce costs.
Logistic analysis was performed using a process of backwards elimination of independent variables.
At the preselection stage for the logistic model, the variables of gender, habitual use of medication andlength of service in the company were excluded from the logistic analysis.
In multivariate logistic analysis, none of the pollutants showed statistically significant association with the outcome Table 4.
Your company shall find safety, agility and seriousness for export andimport processes, including complete customs assistance and integrated logistic analysis, bringing more benefits to you every day.
As pessoas também se traduzem
In multivariate logistic analysis, the factors associated with the smoking condition also were age and education level p.
The independent variablesentered one by one, using the highest OR value observed in the univariate logistic analysis as an entrance criteria, showing a statistically significant association p< 0.001.
Multivariate logistic analysis was done comparing the two types of sectors in relation to income, average education and population density.
To check for the associations between the support received by the teams andthe quality of care, a binary multiple logistic analysis was conducted, and its dependent variable was the result from the certification of teams.
We performed a multivariable logistic analysis in a forward stepwise approach considering death at 6 months as the dependent variable.
The influence of explanatory variables in the Oswestry score categories“low” and“high” orin interest in rehabilitation categories“refused” and“accepted” were investigated in a multivariate logistic analysis using Proc GLM.
Logistic analysis was used in papers by several researchers at the International Institute of Applied Systems Analysis IIASA.
In the present review, Esteban et al. developed a model using logistic analysis to assess risk factors for the development of pharyngocutaneous fistula in 442 patients who underwent total laryngectomy.
Logistic analysis through stepwise analysis was also done to identify independent risk factors and to control confounding effects mutually adjusted variables.
A population-based study of 1,940 elderly in the city of São Paulo using hierarchical ordinal logistic analysis also showed that blacks and browns reported worse health status OR 1.27; p< 0.01 than whites.
In the multivariate logistic analysis including the EGRI variables, the Hosmer and Lemeshow test indicated a good model fit Chi-Square 11.03, p 0.14.
Among these variables, maternal marital status, maternal school education, number of prenatal consultations, andgender of the NB remained in the final model of the multiple logistic analysis as possible modifiers of the effects of air pollution.
Complete logistic analysis and better cost-benefit option, matching better prices to safety and ideal transit-time for the operation.
There was no statistical significance in the analyses conducted with atmospheric pollutants; however,the multiple logistic analysis showed that maternal exposure to SO2 in the last month of pregnancy poses an increased risk for low birth weight.
In the univariate logistic analysis, the maternal exposure to PM10 and SO2 in the first trimester of pregnancy represented a higher chance of a child being born with IW.
Regression analyses were used to identify the magnitude of the effect of the abdominal adiposity presence, measured by the indicators in a categorical scale, on the mean of the CIMT in the linear model and on the diagnosis of high CIMT in the logistic analysis.
The univariate logistic analysis examined, first, the relation of IW at birth with the maternal exposure to several pollutants with the objective of estimating the gross effect, that is, with no adjustments, of this exposure in the weight of the child.
This population was compared to 20,002 controls to perform a regression logistic analysis to estimate odds ratio OR with 95% confidence interval CI-95 to evaluate the risk of confirmed upper gastrointestinal GI complications and their association with NSAIDs.
For better logistic analysis interpretation, since analyzed variables had different amplitudes e.g.: scores varied from 0 to 24 for RM questionnaire and from 0 to 60 for self-efficacy questionnaire, all variables were re-categorized as dichotomous.
In the ICOPER study, 12.4% of the patients with PTE presented COPD.25 In the Olmsted study Minnesota, USA,the univariate logistic analysis of VTE potential risk factors showed that the odds ratio for patients with COPD was 1.2 95% confidence interval: 0.89- 1.70, using a population-based objective diagnosis for a first manifestation of VTE in comparison to community controls.
Arne et al. performed a logistic analysis of indicators of difficult intubation and calculated the odds ratios and P values, respectively for the MS 2.52 and p< 0.0001, a short TMD 1.36 and p< 0.0001, restricted cervical ROM 1.46 and p< 0.0149 and any previous evidence of difficult intubation 3.28 and p< 0.0084.
This research aim to design a teaching sequence to relate the study of discretedynamical systems andthe composition functions from the logistic analysis model ofverhulst, considering a population with a constant birth rate and a mortality rate directlyproportional to that population. preliminary concepts of discrete dynamical study are presented, such as the con-cepts of iterate and equilibrium points, repelling, attracting, periodic, among others, followed by the classical results.
In the final model multiple logistic analysis, adjusted for all pollutants, the gender of the NB, maternal marital status, maternal education, number of prenatal consultations, and birth labor; the exposure to PM10 and SO2 was kept with an increased chance except for the fourth quartile of exposure to the PM10 for IW in the first trimester.
This is the reason why, in the multiple logistic analysis, risk estimates were controlled for variables such as schooling and large job group, among others, in an attempt to control confounding resulting from non-comparability of jobs between cases and controls.
For the bivariate logistic analysis, the following variables were considered: gender, surgery, and use of invasive devices CVC and MV before the first episode of LCBI considered as case, previous notification of early onset sepsis, use of antimicrobials for less than three days for treatment of early suspected sepsis, and use of antimicrobials agents for at least seven days for treatment of early onset sepsis.