Sentence examples for binomial regression was applied from inspiring English sources

Negative Binomial regression was applied to compute Suicide relative risk (RR) and its 95% Confidence interval explained by independent variables; year (2010 as reference), gender (Female as reference) and suicide method (Violent method as reference).

A hierarchical log binomial regression was applied in order to assess the influence of the above variables on the recourse to BCS while taking into account clustering of patients within providers.

Logistic regression was applied.

However, the error for estimated relative risks may be overestimated when Poisson regression is applied to binomial data.

Negative binomial and logistic regressions were applied to estimate the differences in chronic conditions, receipt of treatment, and concern of seeking medical treatment among urbanized rural residents as compared to urban residents and rural-to-urban migrants.

If the assumption for Poisson regression was not met, the negative binomial regression procedure was applied.

Since the likelihood ratio test for alpha = 0 (χ2(1) = 221.60; P = 0.000) indicated over dispersion, a robust negative binomial regression model was applied to predict the number of infections per woman (a count outcome).

Surveylogistic regressions were applied.

A log-binomial regression model was applied to the child protection and infant mortality data to obtain risk ratios for comparing children of women prisoners with children whose mothers had no corrections record (Knol, Le Cessie, Algra, Vandenbroucke, & Groenwold, 2011; McNutt, Wu, Xue, & Hafner, 2003; Robbins, Chao, & Fonseca, 2002).

A multivariable log-binomial regression model was applied to assess the relative risk (RR) of readmission within 30 days (yes vs no) between patients with above basic literacy level and patients with basic/below basic literacy.

Log binomial regression was used to calculate adjusted PRs.