Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

Objective To develop a multivariable model for predicting the progression of systemic sclerosis-associated interstitial lung disease (SSc-ILD) over 52 weeks.Methods We used logistic regression models ...

4. univariable and multivariable regression; 5. common features of linear and logistic regression models; 6. interpretation of model coefficients as differences in means or odds ratios; 7. adjustment ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

We will again illustrate the concepts of ordinal logistic regression model interpretation using an example from the ESCAPE-NA1 trial.14 Online supplemental table 2 shows the results of an ordinal ...

In univariable logistic regression, significant factors associated with the presence of incident PE were female sex, BMI, and systolic blood pressure or hypertension . Subsequently, these variables ...

This course focuses on the application of linear and logistic regression in the analysis of epidemiological studies. Topics covered include a brief introduction to continuous and binary outcome data, ...

Among telehealth users, we estimated multivariable logistic regression models relating covariates to (1) use of telehealth and (2) each of the 5 motivations for telehealth care.

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Univariable Logistic Regression Analysis Showed the Predictors of PCa and CSPCa. Univariable logistic regression analysis showed that age, BMI, PHI, P2PSA, TPSA, f/T, PV, Log (PSAD), PHID, and PI-RADS ...

We used univariable and multivariable two-stage least-squares regression models with genetic risk scores for BMI and WHR as instruments to estimate total (unadjusted) and direct (mutually-adjusted) ...