Dan Jackson

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ISS Efforts to Fully Utilize its Target Acquisition Capability Serves as an Analog for Future Laser Pointing Communications Systems

Dan Jackson, 2017 .

N-backer: An auditory n-back task with automatic scoring of spoken responses

Patrick Olivier, Elizabeth Jefferies, Dan Jackson, 2011, Behavior research methods.

Two new approaches for the visualisation of models for network meta-analysis

Yi Yu, Areti Angeliki Veroniki, Dan Jackson, 2019, BMC Medical Research Methodology.

Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models

Richard D Riley, Joie Ensor, Danielle L Burke, 2017, Statistical methods in medical research.

Methods to estimate the between‐study variance and its uncertainty in meta‐analysis†

Ralf Bender, Jack Bowden, Oliver Kuss, 2015, Research synthesis methods.

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

Dan Jackson, Stephen Rice, Ian R White, 2014, Statistics in medicine.

Extending DerSimonian and Laird's methodology to perform multivariate random effects meta‐analyses

Dan Jackson, Ian R White, Simon G Thompson, 2009, Statistics in medicine.

JourneyCam: Exploring Experiences of Accessibility and Mobility among Powered Wheelchair Users through Video and Data

Peter C. Wright, John Vines, Dan Jackson, 2019, CHI.

Weaving the Topics of CHI: Using Citation Network Analysis to Explore Emerging Trends

Dan Jackson, Andrew Garbett, Clement Lee, 2019, CHI Extended Abstracts.

When should meta‐analysis avoid making hidden normality assumptions?

Dan Jackson, Ian R White, I. White, 2018, Biometrical journal. Biometrische Zeitschrift.

Implementing informative priors for heterogeneity in meta‐analysis using meta‐regression and pseudo data

David J. Spiegelhalter, Dan Jackson, Rebecca M. Turner, 2016, Statistics in medicine.

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

Dan Jackson, Ian R White, Julian PT Higgins, 2012, Research synthesis methods.

Borrowing of strength and study weights in multivariate and network meta-analysis

Richard D Riley, Dan Jackson, Ian R White, 2017, Statistical methods in medical research.

Power analysis for random‐effects meta‐analysis

Dan Jackson, Rebecca Turner, R. Turner, 2017, Research synthesis methods.

ISS As A Laser Pointing Development Testbed

Dan Jackson, 2017 .

Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation

James Carpenter, Dan Jackson, Ian R White, 2014, Statistics in medicine.

Identifying influential observations in Bayesian models by using Markov chain Monte Carlo

James Carpenter, Dan Jackson, Ian R White, 2012, Statistics in medicine.

Statistical application of barycentric rational interpolants: an alternative to splines

Dan Jackson, Rose Baker, 2014, Comput. Stat..

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

Gerta Rücker, Guido Schwarzer, Dan Jackson, 2017, Statistics in medicine.

Residual plots for linear regression models with censored outcome data: A refined method for visualizing residual uncertainty

Dan Jackson, Martin Law, D. Jackson, 2017, Commun. Stat. Simul. Comput..

New models for describing outliers in meta‐analysis

Dan Jackson, Rose Baker, D. Jackson, 2015, Research synthesis methods.

Deepwater Installation Techniques for Pipe-in-Pipe Systems Incorporating Plastic Strains

Mark Dixon, Dan Jackson, Abed El Chayeb, 2003 .

Meta‐analysis inside and outside particle physics: two traditions that should converge?

Dan Jackson, Rose D Baker, D. Jackson, 2013, Research synthesis methods.

Extending DerSimonian and Laird's methodology to perform network meta‐analyses with random inconsistency effects

Julian P. T. Higgins, Jessica K. Barrett, Georgia Salanti, 2015, Statistics in medicine.

Incorporating external evidence on between‐trial heterogeneity in network meta‐analysis

Dan Jackson, Ian R White, Rebecca M Turner, 2018, Statistics in medicine.

The design‐by‐treatment interaction model: a unifying framework for modelling loop inconsistency in network meta‐analysis

Dan Jackson, Ian R White, Paul Boddington, 2015, Research synthesis methods.

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

Theo Stijnen, Wolfgang Viechtbauer, Dan Jackson, 2018, Statistics in medicine.

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

Dan Jackson, Simon G Thompson, Rebecca M Turner, 2014, Statistics in medicine.

Pattern mixture models for the analysis of repeated attempt designs

Wei Feng, Michael J Daniels, Dan Jackson, 2015, Biometrics.

Multivariate meta-analysis: Potential and promise

Dan Jackson, Ian R White, Richard Riley, 2011, Statistics in medicine.

A multivariate model for the meta-analysis of study level survival data at multiple times

Dan Jackson, Katie Rollins, Patrick Coughlin, 2014, Research synthesis methods.

Showboater: insight into sustainable rural community display networks from a longitudinal study

Patrick Olivier, Adrian K. Clear, Dan Jackson, 2019, PerDis.

Utilizing the ISS Mission as a Testbed to Develop Cognitive Communications Systems

Dan Jackson, 2016 .

A matrix‐based method of moments for fitting multivariate network meta‐analysis models with multiple outcomes and random inconsistency effects

Richard D Riley, Sylwia Bujkiewicz, Dan Jackson, 2017, Biometrics.

Using Journal Impact Factors to Correct for the Publication Bias of Medical Studies

Dan Jackson, Rose Baker, D. Jackson, 2006, Biometrics.

New platform, old habits? Candidates’ use of Twitter during the 2010 British and Dutch general election campaigns

Todd Graham, Marcel Broersma, Dan Jackson, 2016, New Media Soc..

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

Dan Jackson, B. Biggerstaff, D. Jackson, 2008, Statistics in medicine.

How much can we learn about missing data?: an exploration of a clinical trial in psychiatry

Dan Jackson, Ian R White, Morven Leese, 2010, Journal of the Royal Statistical Society. Series A,.

A matrix-based method of moments for fitting the multivariate random effects model for meta-analysis and meta-regression

Richard D Riley, Dan Jackson, Ian R White, 2013, Biometrical journal. Biometrische Zeitschrift.

The Significance Level of the Standard Test for a Treatment Effect in Meta-analysis

Dan Jackson, D. Jackson, 2009 .

Confidence intervals for the between‐study variance in random effects meta‐analysis using generalised Cochran heterogeneity statistics

Dan Jackson, D. Jackson, 2013, Research synthesis methods.

A random effects variance shift model for detecting and accommodating outliers in meta-analysis

Dan Jackson, D. Jackson, F. Gumedze, 2011, BMC medical research methodology.

The power of the standard test for the presence of heterogeneity in meta‐analysis

Dan Jackson, D. Jackson, 2006, Statistics in medicine.

An exploration of the missing data mechanism in an Internet based smoking cessation trial

Dan Jackson, Ian R White, Stephen Sutton, 2012, BMC Medical Research Methodology.

A sensitivity analysis framework for the treatment effect measure used in the meta-analysis of comparative binary data from randomised controlled trials

Jack Bowden, Dan Jackson, Rose Baker, 2012, Statistics in medicine.

Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models

Wolfgang Viechtbauer, Dan Jackson, Kirsty Rhodes, 2014, BMC Medical Research Methodology.

Assessing the Implications of Publication Bias for Two Popular Estimates of between‐Study Variance in Meta‐Analysis

Dan Jackson, D. Jackson, 2007, Biometrics.

Inference for meta-analysis with a suspected temporal trend.

Dan Jackson, Rose Baker, 2010, Biometrical journal. Biometrische Zeitschrift.

Approximate confidence intervals for moment‐based estimators of the between‐study variance in random effects meta‐analysis

Jack Bowden, Dan Jackson, Rose Baker, 2015, Research synthesis methods.

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

Oliver Kuss, Julian P T Higgins, Areti Angeliki Veroniki, 2018, Research synthesis methods.

Systematically missing confounders in individual participant data meta-analysis of observational cohort studies

H Tunstall-Pedoe, Dan Jackson, S G Thompson, 2009, Statistics in medicine.

Two new methods to fit models for network meta-analysis with random inconsistency effects

Wolfgang Viechtbauer, Dan Jackson, Martin Law, 2016, BMC Medical Research Methodology.

The Significance Level of Meta-Regression's Standard Hypothesis Test

Dan Jackson, 2008 .

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

Jack Bowden, Evangelos Kontopantelis, Julian P T Higgins, 2018, Research synthesis methods.

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

Jack Bowden, Dan Jackson, Rose Baker, 2010 .

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

Richard D Riley, Dan Jackson, Ian R. White, 2011 .

A new approach to outliers in meta-analysis

Dan Jackson, Rose Baker, D. Jackson, 2008, Health care management science.

The implications of publication bias for meta-analysis' other parameter.

Dan Jackson, 2006, Statistics in medicine.

A re-evaluation of the ‘quantile approximation method’ for random effects meta-analysis

Jack Bowden, Dan Jackson, D. Jackson, 2008, Statistics in medicine.

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

Richard D Riley, Danielle L Burke, Georgia Salanti, 2017, British Medical Journal.

A Bound for Publication Bias Based on the Fraction of Unpublished Studies

Dan Jackson, J. Copas, D. Jackson, 2004, Biometrics.

What Is Meant by "Missing at Random"?

Dan Jackson, John Carlin, Shaun Seaman, 2013, 1306.2812.