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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, ...

Comparison and validation of metadta for meta-analysis of diagnostic test accuracy studies.

Research Design SOFTWARE Abstract: We developed metadta, a flexible, robust, and user-friendly statistical procedure that fuses established and innovative statistical methods for meta-analysis, ...

Determinants of adherence to COVID-19 measures among the Belgian population: an application of the protection motivation theory.

Motivation Theory as a theoretical framework to measure levels of perceived severity, vulnerability, perceived usefulness of the measures (response efficacy), perceived personal capacity to adhere ...

How can we monitor the impact of national health information systems? Results from a scoping review.

information (HI) systems provide data on population health, the determinants of health and health system performance within countries. The evaluation of these systems has traditionally focused on statistical ...

ANOVA model for network meta-analysis of diagnostic test accuracy data.

framework and uses the data more efficiently. Nonetheless, handling the inherent correlation between sensitivity and specificity continues to be a statistical challenge. We developed an arm-based hierarchical ...

Statistical framework for detection of Genetically Modified Organisms based on Next Generation Sequencing

Nieuwerburgh, Filip; Nancy Roosens Source: Food Chemistry, Volume 192, Issue 1, Number 798 (2016) Keywords: bioinformatics detection GM rice GMO NGS Processed food Statistical framework Abstract: Because the ...

Application of the characteristic function to evaluate and compare analytical variability in an external quality assessment scheme for serum ethanol.

regression. By introducing dummy variables, we rewrote the original formula of the characteristic function to assess statistical inference for comparing the variability of the different analytical methods. ...

Simulation of between repeat variability in real time PCR reactions.

develop a statistical framework that models measurement error and other sources of variation as they contribute to fluorescence observations during the amplification process and to derived parameter ...

Optimising the case-crossover design for use in shared exposure settings.

Cross-Over Studies Data Interpretation, Statistical environmental exposure Epidemiologic Studies Humans Legionnaires' Disease Research Design Risk Assessment Weather Abstract: With a case-crossover ...

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