Outputs (6)

The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data (2016)
Journal Article
Jackson, S. E., Einbeck, J., Kasim, A., & Talloen, W. (2016). The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data. Reinvention, 9(2),

It is well established in the literature that certain disease-associated gene signatures can be identified as a source for predicting the classification of samples or cell lines into diagnostic groups – for example, healthy and diseased. Using standa... Read More about The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data.

Uncertainty of fast biological radiation dose assessment for emergency response scenarios (2016)
Journal Article
Ainsbury, E. A., Higueras, M., Puig, P., Einbeck, J., Samaga, D., Barquinero, J. F., …Woda, C. (2017). Uncertainty of fast biological radiation dose assessment for emergency response scenarios. International Journal of Radiation Biology, 93(1), 127-135. https://doi.org/10.1080/09553002.2016.1227106

Purpose: Reliable dose estimation is an important factor in appropriate dosimetric triage categorization of exposed individuals to support radiation emergency response. Materials and Methods: Following work done under the EU FP7 MULTIBIODOSE and RENE... Read More about Uncertainty of fast biological radiation dose assessment for emergency response scenarios.

Gradient test for generalised linear models with random effects (2016)
Presentation / Conference Contribution
da Silva-Junior, A., Einbeck, J., & Craig, P. (2016, July). Gradient test for generalised linear models with random effects. Presented at International Workshop on Statistical Modelling, Rennes, France

This work develops the gradient test for parameter selection in generalised linear models with random effects. Asymptotically, the test statistic has a chi-squared distribution and the statistic has a compelling feature: it does not require computati... Read More about Gradient test for generalised linear models with random effects.

A diagnostic plot for assessing model fit in count data models (2016)
Presentation / Conference Contribution
Einbeck, J., & Wilson, P. (2016, July). A diagnostic plot for assessing model fit in count data models. Presented at International Workshop on Statistical Modelling, Rennes, France

Whilst many numeric methods, such as AIC and deviance, exist for assessing model fit, diagrammatic methods are few. We present here a diagnostic plot, to which we refer as `Christmas tree plot' due its characteristic shape, that may be used to visual... Read More about A diagnostic plot for assessing model fit in count data models.

k-Boxplots for mixture data (2016)
Journal Article
Qarmalah, N. M., Einbeck, J., & Coolen, F. P. (2018). k-Boxplots for mixture data. Statistical Papers, 59(2), 513-528. https://doi.org/10.1007/s00362-016-0774-7

This article introduces a new graphical tool to summarize data which possess a mixture structure. Computation of the required summary statistics makes use of posterior probabilities of class membership which can be obtained from a fitted mixture mode... Read More about k-Boxplots for mixture data.

On statistical testing and mean parameter estimation for zero-modification in count data regression (2016)
Presentation / Conference Contribution
Wilson, P., & Einbeck, J. (2016, December). On statistical testing and mean parameter estimation for zero-modification in count data regression. Presented at International Workshop on Statistical Modelling, Rennes

For the problem of testing for zero-modification in Poisson regression, a simple and intuitive test can be constructed by computing directly confidence intervals for the number of 0's under the Poisson assumption. This requires the ability of estimat... Read More about On statistical testing and mean parameter estimation for zero-modification in count data regression.