When you are assessing the quality of the evidence, it’s not how the data are analyzed that’s important. Far more important is how the data are collected. Don’t agonize over whether the researchers should have used a non-parametric test or whether a random effects meta-analysis is appropriate (just to cite two obscure examples). These are important issues and they generate a lot of debate. But ...

BACKGROUND There are inconsistent reports about multiple sclerosis (MS) risk among migrants from low to high MS risk geographical regions. This study assessed the overall MS incidence and evaluated seasonality in birth and subsequent MS risk later in the life in second generation of migrants born and lived in Kuwait. METHODS We assessed the overall and gender-specific MS risk in second genera...

BACKGROUND Although non-normal data are widespread in biomedical research, parametric tests unnecessarily predominate in statistical analyses. METHODS We surveyed five biomedical journals and - for all studies which contain at least the unpaired t-test or the non-parametric Wilcoxon-Mann-Whitney test - investigated the relationship between the choice of a statistical test and other variables ...

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background: precise diagnosis of disease risk factors via efficient statistical models is the primary step for reducing the heavy costs of breast cancer, as one of the most highly prevalent cancer throughout the world. therefore, the aim of this study was to present a recently introduced statistical model in order to assess its proficiency for model fitting. methods: the information of 1465 eli...

A precise determination of the charm-strange baryon Ξc lifetime is presented. The data were accumulated by the Fermilab high-energy photoproduction experiment FOCUS. The measurement is made with 300 Ξc → Ξ −π+π+ decays, 130 Ξc → Σ+K−π+ decays, 45 Ξc → pK −π+ decays and 58 Ξc → Λ 0K−π+π+ decays. The Ξc lifetime is measured to be 0.439±0.022±0.009 ps.

In recent years a popular non-parametric model for coarsened data is an assumption on the coarsening mechanism called Coarsening At Random (CAR). We will give a short definition here; in the talk we will introduce a more general version. Let Y be the space of the parameter of interest Y . On Y we have a dominating measure Q0. Let C be a space with a dominating measure P0 such that the data cont...

An overview of multi-parametric programming and control is presented with emphasis on historical milestones, novel developments in the theory of multi-parametric programming and explicit MPC as well as their application to the design of advanced controller for complex multi-scale systems.