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Paul C. D. Johnson

Researcher at University of Glasgow

Publications -  118
Citations -  8755

Paul C. D. Johnson is an academic researcher from University of Glasgow. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 33, co-authored 103 publications receiving 6614 citations. Previous affiliations of Paul C. D. Johnson include Robertson Centre for Biostatistics & University of London.

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The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded.

TL;DR: This paper generalizes the methods called for Poisson and binomial GLMMs to all other non-Gaussian distributions, in particular to negative binomial and gamma distributions that are commonly used for modelling biological data and can be used across disciplines and regardless of statistical environments.
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Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models.

TL;DR: It is shown that R2 GLMM can be extended to random slopes models using a simple formula that is straightforward to implement in statistical software and substantially widens the potential application of R2GLMM.
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A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Alisa K. Manning, +243 more
- 01 Jun 2012 - 
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
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Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Robert A. Scott, +216 more
- 01 Sep 2012 - 
TL;DR: Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations and further functional analysis of these newly discovered loci will further improve the understanding of glycemic control.
Posted ContentDOI

The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded

TL;DR: In this paper, a non-Gaussian version of the coefficient of determination (R2GLMM) is proposed for estimating the proportion of variance explained by a statistical model and is an important summary statistic of biological interest.