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However, recent developments in statistical methodology are decreasing the extent to which pseudoreplication has to be tolerated.
Recent computational advances in statistical methodology, the design of libraries to reduce ADMET problems, targeting protein families and revisiting natural products as sources of inspiration for scaffolds and reagents are all areas of progressive research.
Although our approach is more generally applicable, the model framework is presented directly in the T1D context in order to make it more easily accessible for readers with an interest in genetic epidemiology rather than in statistical methodology per se.
Results are presented and further innovations in statistical methodology are proposed for further applications.
Developments in statistical methodology have been mirrored by advances in methods for assessing the quality of studies for systematic reviews.
The statistical domain of the BSES is also informed by and updated to incorporate innovations in statistical methodology.
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And, over time there has been a steady improvement in statistical methodologies that have enabled safety researchers to extract more information from crash databases to guide a wide array of safety design and policy improvements.
Despite these deficiencies it should be borne in mind that, in addition to the spate of guidelines aimed at improving the quality of reporting [ 2, 10, 13], there have been a number of developments in the statistical methodology used in meta-analyses of diagnostic test accuracy studies [ 3, 4, 31- 33].
Moreover, matched case-control studies published in Lancet were notably inconsistent in their statistical methodology.
The method by which industries were allocated to an appropriate (generally high or low) exposure level is described by Van Tongeren et al (2012), and the use of the data in the estimation of cancer is described in the statistical methodology paper (Hutchings and Rushton, 2012).
In this way, we had to adjust the age classes in our statistical methodology, which could affect statistical significance.
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in statistical practice
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