The phrase "a binary logistic regression test" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or research when discussing a specific type of statistical test used for binary outcomes.
Example: "To analyze the impact of the treatment on patient outcomes, we conducted a binary logistic regression test."
Alternatives: "a binary logistic analysis" or "a binary logistic model".
We performed multivariate analysis using a binary logistic regression test for risk of BPAR and the Cox regression test for risk of graft loss, respectively (backward stepwise method).
Statistical analysis was performed using chi-square, followed by a binary logistic regression test.
A multivariate analysis using a binary logistic regression test was performed for significantly different factors in the univariate analysis in order to determine significant factors associated with mortality in IPA patients.
A multivariate analysis was performed using the binary logistic regression test (qualitative variable) and multiple regressions (quantitative variable) using the LOGXACT programme (Cytel Software, Cambridge, MA, USA) to determine independent predictors of changes in tumour volume and predictors of response and relapse to treatment with TMZ.
According to the binary logistic regression test, higher APACHE II scores were associated with a higher occurrence risk of CA-AKI (p = 0.015, Exp (B) = 2.10; 95% CI, 1.15 3.82).
In order to explore the possibility that other factors could be determinants to OCPs serum levels, multivariate analysis (binary logistic regression) test was used, adjusting for the well-known confounding variables, such as age, body mass index (BMI), menopausal status, lactation and smoking habits.
Binary logistic regression tests indicated that Cbx4 is correlated with histological grading, tumor-node-metastasis stage, microvessel density, distant metastasis and hematogenous metastasis of HCC.
To understand why chimpanzees revisit some individual trees and not others, we ran a binary logistic regression to test the effects of social factors (party size, female ratio), tree species density, and duration of time spent eating in the tree.
We used a binary logistic regression to test whether social factors (party size and female ratio), density of the tree species, and tree productivity (based on the amount of time spent in the tree eating the fruit) would influence the decision to revisit a tree.
We performed a binary logistic regression model to test which student characteristics could explain engagement in undergraduate scientific research activities.
