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David J. Gavaghan

Researcher at University of Oxford

Publications -  288
Citations -  28314

David J. Gavaghan is an academic researcher from University of Oxford. The author has contributed to research in topics: Finite element method & hERG. The author has an hindex of 50, co-authored 276 publications receiving 25994 citations. Previous affiliations of David J. Gavaghan include Brookhaven National Laboratory & Tulane University.

Papers
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Journal ArticleDOI

Assessing the quality of reports of randomized clinical trials : is blinding necessary?

Alejandro R. Jadad, +6 more
- 01 Feb 1996 - 
TL;DR: An instrument to assess the quality of reports of randomized clinical trials (RCTs) in pain research is described and its use to determine the effect of rater blinding on the assessments of quality is described.
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Publication and related bias in meta-analysis : power of statistical tests and prevalence in the literature

Jonathan A C Sterne, +2 more
- 01 Nov 2000 - 
TL;DR: Tests for small-study effects should routinely be performed in meta-analysis, particularly for moderate amounts of bias or meta-analyses based on a small number of small studies.
Journal ArticleDOI

Size is everything – large amounts of information are needed to overcome random effects in estimating direction and magnitude of treatment effects

R A Moore, +4 more
- 01 Dec 1998 - 
TL;DR: It is contended that much of the variability in control and experimental event rates is due to random chance alone, and that if trials are small their estimate of magnitude of effect may be incorrect, simply because of the random play of chance.
Journal Article

Size is everything--large amounts of information are needed to overcome random effects in estimating direction and magnitude of treatment effects.

David J. Gavaghan, +4 more
- 29 Nov 1998 - 
TL;DR: In this paper, the authors show that the main cause of the variability may be random chance, and that if trials are small their estimate of magnitude of effect may be incorrect, simply because of the random play of chance.
Journal ArticleDOI

Chaste: an open source C++ library for computational physiology and biology.

Gary R. Mirams, +17 more
- 14 Mar 2013 - 
TL;DR: Chaste as mentioned in this paper is an open source C++ library for the computational simulation of mathematical models developed for physiology and biology, such as cardiac electrophysiology and cancer development, which can be used to solve a wide range of problems.