Dan Jackson
Cited by
Cited by
Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studies
JPT Higgins, D Jackson, JK Barrett, G Lu, AE Ades, IR White
Research Synthesis Methods 3 (2), 98-110, 2012
Methods to estimate the between‐study variance and its uncertainty in meta‐analysis
AA Veroniki, D Jackson, W Viechtbauer, R Bender, J Bowden, G Knapp, ...
Research synthesis methods 7 (1), 55-79, 2016
Consistency and inconsistency in network meta‐analysis: model estimation using multivariate meta‐regression
IR White, JK Barrett, D Jackson, J Higgins
Research Synthesis Methods 3 (2), 111-125, 2012
Incidence of schizophrenia and other psychoses in England, 1950–2009: a systematic review and meta-analyses
JB Kirkbride, A Errazuriz, TJ Croudace, C Morgan, D Jackson, J Boydell, ...
PLoS One 7 (3), e31660, 2012
A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses
D Langan, JPT Higgins, D Jackson, J Bowden, AA Veroniki, ...
Research synthesis methods 10 (1), 83-98, 2019
Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses
D Jackson, IR White, SG Thompson
Statistics in medicine 29 (12), 1282-1297, 2010
Quantifying the impact of between‐study heterogeneity in multivariate meta‐analyses
D Jackson, IR White, RD Riley
Statistics in medicine 31 (29), 3805-3820, 2012
Multivariate meta‐analysis: Potential and promise
D Jackson, R Riley, IR White
Statistics in Medicine 30 (20), 2481-2498, 2011
Power analysis for random‐effects meta‐analysis
D Jackson, R Turner
Research synthesis methods 8 (3), 290-302, 2017
Predictive distributions for between‐study heterogeneity and simple methods for their application in Bayesian meta‐analysis
RM Turner, D Jackson, Y Wei, SG Thompson, J Higgins
Statistics in medicine 34 (6), 984-998, 2015
A design‐by‐treatment interaction model for network meta‐analysis with random inconsistency effects
D Jackson, JK Barrett, S Rice, IR White, J Higgins
Statistics in medicine 33 (21), 3639-3654, 2014
What Is Meant by “Missing at Random”?
S Seaman, J Galati, D Jackson, J Carlin
Statistical Science 28 (2), 257-268, 2013
Duplex ultrasound and contrast-enhanced ultrasound versus computed tomography for the detection of endoleak after EVAR: systematic review and bivariate meta-analysis
TA Mirza, A Karthikesalingam, D Jackson, SR Walsh, PJ Holt, PD Hayes, ...
European Journal of Vascular and Endovascular Surgery 39 (4), 418-428, 2010
How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
D Jackson, J Bowden, R Baker
Journal of Statistical Planning and Inference 140 (4), 961-970, 2010
Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples
RD Riley, D Jackson, G Salanti, DL Burke, M Price, J Kirkham, IR White
BMJ 358, j3932, 2017
A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio
D Jackson, M Law, T Stijnen, W Viechtbauer, IR White
Statistics in medicine 37 (7), 1059-1085, 2018
Methods to calculate uncertainty in the estimated overall effect size from a random‐effects meta‐analysis
AA Veroniki, D Jackson, R Bender, O Kuss, D Langan, JPT Higgins, ...
Research synthesis methods 10 (1), 23-43, 2019
When should meta‐analysis avoid making hidden normality assumptions?
D Jackson, IR White
Biometrical Journal 60 (6), 1040-1058, 2018
Systematic review and meta‐analysis of duplex ultrasonography, contrast‐enhanced ultrasonography or computed tomography for surveillance after endovascular aneurysm repair
A Karthikesalingam, W Al‐Jundi, D Jackson, JR Boyle, JD Beard, ...
British Journal of Surgery 99 (11), 1514-1523, 2012
The Hartung‐Knapp modification for random‐effects meta‐analysis: A useful refinement but are there any residual concerns?
D Jackson, M Law, G Rücker, G Schwarzer
Statistics in Medicine 36 (25), 3923-3934, 2017
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