Search results - 149 results

Methods for meta-analysis and meta-regression of binomial data: concepts and tutorial with Stata command metapreg

understood. The generalized linear models framework is well-established and provides a natural and optimal model for meta-analysis, network meta-analysis, and meta-regression of proportions. Nonetheless, ...

Full Characterisation of Heroin Samples Using Infrared Spectroscopy and Multivariate Calibration

Squares (PLS) modelling, in order to obtain qualitative and quantitative models based on real live samples. The approach showed that it was possible to identify and quantify heroin in the samples based on ...

Modelling the pesticide transfer during tea and herbal tea infusions by the identification of critical infusion parameters.

play a significant role. Beta regression models developed to characterise pesticide behaviour during infusion showed good predictions for most pesticides and revealed that log (P) was the main ...

Psychosocial factors associated with health-related quality of life in patients with chronic disease: Results of a cross-sectional survey

with one or more chronic diseases based on cross-sectional data collected in Flanders (Belgium). METHODS: Cross-sectional data on 544 chronically ill patients were analysed. Multiple linear regression ...

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 ...

Factors underlying COVID-19 booster vaccine uptake among adults in Belgium

COVID-19 infection history. RESULTS: A binomial regression model was used with having received the first or second booster as outcome and age, sex, region of residence and infection history as fixed ...

Assessing the benefits of hypothetical air pollution reduction interventions on stroke in Belgium

to calculate the potential impact fractions of five air pollution reduction interventions to decrease the prevalence of stroke. Regression models were adjusted for socio-economic, environmental and ...

Exploratory study of risk factors related to SARS-CoV-2 prevalence in nursing homes in Flanders (Belgium) during the first wave of the COVID-19 pandemic

linear models and Bayesian linear regression. The present analyses showed that the prevalence of residents with dementia, the scarcity of personal protective equipment (surgical masks, FFP2 masks, glasses ...

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 ...

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