Institution
Robertson Centre for Biostatistics
About: Robertson Centre for Biostatistics is a based out in . It is known for research contribution in the topics: Heart failure & Population. The organization has 205 authors who have published 907 publications receiving 55572 citations.
Topics: Heart failure, Population, Randomized controlled trial, Myocardial infarction, Ejection fraction
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The standard nonparametric randomization and permutation testing ideas are developed at an accessible level, using practical examples from functional neuroimaging, and the extensions for multiple comparisons described.
Abstract: Requiring only minimal assumptions for validity, nonparametric permutation testing provides a flexible and intuitive methodology for the statistical analysis of data from functional neuroimaging experiments, at some computational expense. Introduced into the functional neuroimaging literature by Holmes et al. ([1996]: J Cereb Blood Flow Metab 16:7-22), the permutation approach readily accounts for the multiple comparisons problem implicit in the standard voxel-by-voxel hypothesis testing framework. When the appropriate assumptions hold, the nonparametric permutation approach gives results similar to those obtained from a comparable Statistical Parametric Mapping approach using a general linear model with multiple comparisons corrections derived from random field theory. For analyses with low degrees of freedom, such as single subject PET/SPECT experiments or multi-subject PET/SPECT or fMRI designs assessed for population effects, the nonparametric approach employing a locally pooled (smoothed) variance estimate can outperform the comparable Statistical Parametric Mapping approach. Thus, these nonparametric techniques can be used to verify the validity of less computationally expensive parametric approaches. Although the theory and relative advantages of permutation approaches have been discussed by various authors, there has been no accessible explication of the method, and no freely distributed software implementing it. Consequently, there have been few practical applications of the technique. This article, and the accompanying MATLAB software, attempts to address these issues. The standard nonparametric randomization and permutation testing ideas are developed at an accessible level, using practical examples from functional neuroimaging, and the extensions for multiple comparisons described. Three worked examples from PET and fMRI are presented, with discussion, and comparisons with standard parametric approaches made where appropriate. Practical considerations are given throughout, and relevant statistical concepts are expounded in appendices.
5,777 citations
••
TL;DR: Pravastatin given for 3 years reduced the risk of coronary disease in elderly individuals and was extended to elderly individuals the treatment strategy currently used in middle aged people.
3,162 citations
••
TL;DR: In this article, the effect of heart rate reduction by the selective sinus-node inhibitor ivabradine on outcomes in heart failure was evaluated in a randomized, double-blind, placebo-controlled, parallel-group study.
2,039 citations
••
TL;DR: A strategy of intensive outpatient management of rheumatoid arthritis substantially improves disease activity, radiographic disease progression, physical function, and quality of life at no additional cost.
1,400 citations
••
University of Oxford1, University of Michigan2, Wellcome Trust Sanger Institute3, Amgen4, University of Cambridge5, University of Copenhagen6, University of Liverpool7, University of Freiburg8, Boston University9, University of Tartu10, Erasmus University Medical Center11, Leiden University Medical Center12, Pasteur Institute13, Icahn School of Medicine at Mount Sinai14, UCLA Medical Center15, Vanderbilt University Medical Center16, Wake Forest University17, National University of Singapore18, Imperial College London19, London North West Healthcare NHS Trust20, Charité21, Innsbruck Medical University22, Washington University in St. Louis23, Queen Mary University of London24, University of Southern Denmark25, National and Kapodistrian University of Athens26, Robertson Centre for Biostatistics27, University of Exeter28, Uppsala University29, University of Düsseldorf30, Steno Diabetes Center31, Aalborg University32, University of Eastern Finland33, Broad Institute34, Frederiksberg Hospital35, Lund University36, University of Bergen37, Technische Universität München38, University of North Carolina at Chapel Hill39, Ninewells Hospital40, University of Edinburgh41, University of Minnesota42, University of Glasgow43, Ludwig Maximilian University of Munich44, University of Iceland45, Aarhus University46, Science for Life Laboratory47, Stanford University48, University of Helsinki49, National Institutes of Health50, University of Dundee51, Harvard University52
TL;DR: Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.
Abstract: We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency 2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).
1,136 citations
Authors
Showing all 205 results
Name | H-index | Papers | Citations |
---|---|---|---|
Naveed Sattar | 155 | 1326 | 116368 |
John G.F. Cleland | 137 | 1172 | 110227 |
Ian Ford | 134 | 678 | 85769 |
Gordon D.O. Lowe | 105 | 560 | 44327 |
Rod S Taylor | 104 | 524 | 39332 |
Lucilla Poston | 91 | 565 | 32452 |
Kennedy R. Lees | 86 | 455 | 40975 |
Alistair S. Hall | 86 | 247 | 63542 |
David J. Stott | 77 | 330 | 26561 |
Robert Steele | 74 | 492 | 21963 |
Paul Martin | 72 | 237 | 26916 |
Peter W. Macfarlane | 71 | 357 | 34315 |
David Young | 71 | 514 | 18558 |
Ann Rumley | 69 | 177 | 19312 |
Chris J. Packard | 69 | 188 | 26924 |