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Mathematics

D-Index
44
Citations
13393
World Ranking
1538
National Ranking
107

Overview

Dan Jackson is affiliated with AstraZeneca in the United Kingdom and has a research focus primarily in the field of Mathematics. Their work extensively covers areas such as Statistics and Probability, Economics and Econometrics, and more specifically, Statistics, Probability and Uncertainty. Other notable subfields include Pulmonary and Respiratory Medicine and Physiology.

Their research topics broadly encompass Statistical Methods in Clinical Trials, Meta-analysis and systematic reviews, and Advanced Causal Inference Techniques. Additional topics of interest include Health Systems, Economic Evaluations, Quality of Life, Statistical Methods and Inference, Economic and Environmental Valuation, as well as Statistical Methods and Bayesian Inference.

Dan Jackson has contributed to several recent publications, including:

  • Treatments for Chronic Kidney Disease: A Systematic Literature Review of Randomized Controlled Trials, 2021, Advances in Therapy
  • One-stage individual participant data meta-analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods, 2020, Statistics in Medicine
  • Correlation Between Early Endpoints and Overall Survival in Non-Small-Cell Lung Cancer: A Trial-Level Meta-Analysis, 2021, Frontiers in Oncology
  • Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews, 2022, Systematic Reviews
  • Alternative weighting schemes when performing matching-adjusted indirect comparisons, 2020, Research Synthesis Methods

Frequent co-authors collaborating with Dan Jackson include Michael Sweeting, Sylwia Bujkiewicz, Keith R. Abrams, Mario Ouwens, and Robert Hettle. The number of collaborations with each ranges from four to seven co-authored works.

Dan Jackson has published prominently in the following venues:

  • Research Synthesis Methods (6 publications)
  • Pharmaceutical Statistics (4 publications)
  • Statistics in Medicine (2 publications)
  • GeoHealth (2 publications)
  • Zenodo (CERN European Organization for Nuclear Research) (2 publications)

Best Publications

  • Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studies

    J. P. T. Higgins;D Jackson;J. K. Barrett;G Lu

  • Methods to estimate the between-study variance and its uncertainty in meta-analysis

    Areti Angeliki Veroniki;Dan Jackson;Wolfgang Viechtbauer;Ralf Bender

  • Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression

    Ian R. White;Jessica K. Barrett;Dan Jackson;Julian P. T. Higgins

  • A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses

    Dean Langan;Dean Langan;Julian P T Higgins;Dan Jackson;Jack Bowden

  • Extending DerSimonian and Laird's methodology to perform multivariate random effects meta-analyses.

    Dan Jackson;Ian R. White;Simon G. Thompson

  • Quantifying the impact of between-study heterogeneity in multivariate meta-analyses

    Dan Jackson;Ian R White;Richard D Riley

  • Multivariate meta-analysis: Potential and promise

    Dan Jackson;Richard Riley;Ian R White

  • Power analysis for random-effects meta-analysis.

    Dan Jackson;Rebecca Turner

  • Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis.

    Rebecca M. Turner;Dan Jackson;Yinghui Wei;Simon G. Thompson

  • A design‐by‐treatment interaction model for network meta‐analysis with random inconsistency effects

    Dan Jackson;Jessica K Barrett;Stephen Rice;Ian R White

  • How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?

    Dan Jackson;Jack Bowden;Rose Baker

  • Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples

    Richard D Riley;Daniel Jackson;Georgia Salanti;Georgia Salanti;Danielle L Burke

  • What Is Meant by "Missing at Random"?

    Shaun R. Seaman;John Galati;Dan Jackson;John Carlin

  • Methods to calculate uncertainty in the estimated overall effect size from a random-effects meta-analysis.

    Areti Angeliki Veroniki;Areti Angeliki Veroniki;Dan Jackson;Ralf Bender;Oliver Kuss

  • When should meta-analysis avoid making hidden normality assumptions?

    Dan Jackson;Ian R. White

  • Rejoinder to commentaries on ‘Multivariate meta-analysis: Potential and promise’

    Dan Jackson;Ian R. White;Richard D. Riley

  • The Hartung-Knapp modification for random-effects meta-analysis: A useful refinement but are there any residual concerns?

    Dan Jackson;Martin Law;Gerta Rücker;Guido Schwarzer

  • A comparison of seven random-effects models for meta-analyses that estimate the summary odds ratio.

    Daniel Jackson;Martin Law;Theo Stijnen;Wolfgang Viechtbauer

  • The exact distribution of Cochran's heterogeneity statistic in one-way random effects meta-analysis.

    Brad J. Biggerstaff;Dan Jackson

  • 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;J. R. Boyle

  • Meta-analysis of single-arm survival studies: a distribution-free approach for estimating summary survival curves with random effects.

    Christophe Combescure;Yohann Foucher;Daniel Jackson

Frequent Co-Authors

Ian R. White
Ian R. White University College London
Julian P T Higgins
Julian P T Higgins University of Bristol
Wolfgang Viechtbauer
Wolfgang Viechtbauer Maastricht University
Robert J. Hinchliffe
Robert J. Hinchliffe University of Bristol
Peter Jones
Peter Jones University of Cambridge
Robin M. Murray
Robin M. Murray King's College London
Matt M. Thompson
Matt M. Thompson St George's Hospital
James B. Kirkbride
James B. Kirkbride University College London
Craig Morgan
Craig Morgan King's College London
Stephen Sutton
Stephen Sutton University of Cambridge

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