Résultats de la recherche - 6 results
Methods for meta-analysis and meta-regression of binomial data: concepts and tutorial with Stata command metapreg
perform a meta-analysis, network meta-analysis, and meta-regression of binomial proportions in Stata using binomial, logistic and logistic-normal models. First, we explain the rationale and concepts ...
Accuracy of HPV E6/E7 oncoprotein tests to detect high-grade cervical lesions: a systematic literature review and meta-analysis.
and cancer. We included studies reporting data on oncoprotein test accuracy detecting cervical intraepithelial neoplasia grade 3 or worse. Random effects logistic regression models were applied for ...
Potential impact fractions of body mass index reductions on the non-communicable disease burden in Belgium using G-computation
to calculate the potential impact fractions of four BMI reduction scenarios on diabetes prevalence. The logistic regression model included several confounders related to socio-economic factors, ...
Factors underlying COVID-19 booster vaccine uptake among fully vaccinated adults in Belgium
history before or after completion PC (based on PCR tests). We used a quasibinomial logistic regression model to determine influential factors on the booster uptake. Results Among the Belgian adult ...
Factors underlying COVID-19 booster vaccine uptake among fully vaccinated adults in Belgium
reported coverage by demographics (age, region of residence and sex) and COVID-19 infection history before or after completion PC (based on PCR tests). We used a quasibinomial logistic regression model to ...
Homologous versus heterologous prime-boost COVID-19 vaccination: impact on clinical severity of Omicron among hospitalized COVID-19 patients in Belgium
the study population. An adjusted logistic model was build and g-computation was executed to estimate counterfactual risks of different clinical severity outcomes (intensive care unit (ICU) transfer, ...