Sentence examples for binomial and logistic regression from inspiring English sources

Geostatistical zero inflated negative binomial and logistic regression models were fitted on the mosquito density and SR data, respectively.

Regression diagnostics for the negative binomial and logistic regression models included an assessment of collinearity and influence diagnostics.

Negative binomial and logistic regression modelling was used to provide an estimate for the change in coverage and positivity, during, and after the campaign and estimates were adjusted for secular and cyclical trends.

Descriptive statistics, chi-square tests, negative binomial and logistic regression modelling were applied to determine: (a) municipality characteristics predicting Portuguese and International physicians' geographical distribution, and; (b) doctors' characteristics that could increase the odds of residing outside the country's metropolitan areas.

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.

To account for potentially greater homogeneity within sampling strata, robust variance estimates were calculated for both log-binomial and logistic regression models.

Log-binomial and logistic regression analyses were conducted to estimate the relative risk (RR) and odds ratio (OR), respectively, of male birth as a function of maternal PCB concentrations.

Secondary sex ratio, or sex ratio at birth, was evaluated as a function of maternal serum concentrations using log-binomial and logistic regression, controlling for hormonally active medications taken during pregnancy.

For binomial data and logistic regression, the effectiveness of these designs for screening is assessed through simulation studies using all-subsets regression and model selection via maximum penalised likelihood and a generalised information criterion.

Both binomial regression and logistic regression were used to develop models for the three outcomes of interest depending upon use.

Mantel-Haenszel chi-square test was adopted to analyze binomial data and logistic regression was performed for data with three or more categories, then the combined odds ratio was calculated.