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We used a logistic regression model that included all variables that were correlated significantly with abortion provision in univariate analyses.
They used a logistic regression statistical approach to establish the probability of ZIKV infection as a function of the quantity of IgG antibodies that react against the NS1 protein of DENV, which they determined using two serological assays.
We used a logistic regression of pooled data from countries where use of reversible contraception is substantial to calculate crude odds ratio of having a short birth interval during 1991-3 and 1999-2001.
We used a logistic regression model adjusted for education and occupation to investigate the associations between the PE grade and a future musculoskeletal diagnosis.
To investigate predictive factors of remission after antidepressant treatment, we used a logistic regression.
We used a logistic regression analysis to examine potential risk factors for the four outcomes.
For X1, we used a logistic regression imputation according to its binomial distribution.
We used a logistic regression model for modelling the relation between sterility and daylength.
Multivariable analyses of predictors of mortality used a logistic regression model for 28-day mortality.
We used a logistic regression analysis to identify variables independently associated with mortality.
We used a logistic regression to analyze these means by setting participants' frequency ratings for reading habits of specific types of comics as predictors (see Table 1).
More suggestions(15)
used a quantile regression
used a simple regression
used a spatial regression
used a separate regression
used a logistic function
used a multinomial regression
used a standardized regression
used a logistic model
used a nonlinear regression
used a logistic link
used a multivariate regression
used a logistic item
used a multiple regression
used a logistic curve
used a logit regression
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