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Using cross-level data from the Argentine pampas, analyzed by simple and multiple regression analysis, we demonstrate that controls differ from one spatio-temporal level to the other, but they can be altered by humans.
Unadjusted and adjusted odds ratios (OR) for binary outcomes were estimated by simple and multiple logistic regression modeling, respectively.
Three kinds of model were tested by simple and multiple regressions.
Correlations between variables were studied by simple and multiple regression analysis by using square root transformation if distribution was skewed.
In RA patients, associations with disease activity and severity variables were analyzed by simple and multiple linear regressions.
The association between DLCs or each DL-PCB and QUS parameters was examined by simple and multiple linear regressions.
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NT-proBNP levels were compared by using ANOVA and correlated with other clinical variables by using simple and multiple linear regression.
To evaluate the association of microbial DNA with neonatal outcomes, results from end-point PCR and culture were correlated with a composite of neonatal morbidity and mortality by means of simple and multiple logistic regression.
We investigated associations between variables by use of simple and multiple linear regression.
The associations between alleles of STR's polymorphisms and the risk to develop VTE were estimated by OR through simple and multiple logistic regression models.
We assessed to which extent the Tinnitus Handicap Inventory (THI) and its subscales and single items as well as the tinnitus severity correlate with Beck Depression Inventory (BDI) score and different domains of the short version of the WHO-Quality of Life questionnaire (WHO-QoL Bref) by means of simple and multiple linear regression models.
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by dual and multiple
by simple and spline
by single and multiple
by simple and duplex
by simple and affordable
by singleton and multiple
by simple and easy
by simple and rapid
by simple and clear
by simple and advanced
by bivariate and multiple
by complex and multiple
by simple and flexible
by simple and facile
by simple and double
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