Sentence examples for using a multivariable logistic from inspiring English sources

A random sample of 434 patients currently on OAT receiving buprenorphine (BMT) or methadone maintenance treatment (MMT) from five cities in Ukraine were assessed for factors associated with self-reported concurrent illicit drug use during OAT using a multivariable logistic regression.

Determinants of hospital mortality were identified using a multivariable logistic regression model.

Factors associated with ICU mortality were assessed using a multivariable logistic regression.

For example, Jelinski and colleagues [16], using a multivariable logistic regression model, reported that individuals with severe headache-related disability were 1.6 times (95%CI, 1.03 2.48) more likely to be depressed than patients with weak to moderate disability.

Using a multivariable logistic regression model, the presence of an M band was positively correlated with age (odds ratio [OR], 1.056; 95% confidence interval [CI], 1.006 to 1.108) and negatively correlated for serum albumin level (OR, 0.386; 95% CI, 0.184 to 0. 810), hematocrit (OR, 0.923; 95% CI, 0.852 to 1.001), and the presence of diabetes mellitus (OR, 0.128; 95% CI, 0.038 to 0.434).

The score was developed using a multivariable logistic regression model to predict cancer or death.

We will use a multivariable logistic regression model to identify predictors of insulin progression and highlight potential opportunities for health behavior intervention to improve insulin progression rates.

We used a multivariable logistic regression model to develop a risk adjustment model for NI.

We used a multivariable logistic regression model to simultaneously control for several factors associated with adverse events in the entire cohort (n=13 495).

We used a multivariable logistic regression to train the clinical weights (regression coefficients) for the HCC risk score with the trained dataset based on the KCIS cohort.

Next, we used a multivariable logistic regression analysis to examine the independent association of high pulse pressure with proteinuria (≥1+) separately in subjects with diabetes, prediabetes, or normal glucose tolerance, respectively.