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Generation and characterisation of warm dense matter with intense lasers

Plasma physics and controlled fusion, 2018-01, Vol.60 (1), p.14033

Riley, D

2018

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Meta-analysis of individual participant data: rationale, conduct, and reporting

BMJ (British Medical Journal), 2010-02, Vol.340 (7745), p.521-525

International edition, 2010

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Effects of urbanization on resource use and individual specialization in coyotes (Canis latrans) in southern California

PloS one, 2020-02, Vol.15 (2), p.e0228881-e0228881

2020

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Random effects meta‐analysis: Coverage performance of 95% confidence and prediction intervals following REML estimation

Statistics in medicine, 2017-01, Vol.36 (2), p.301-317

2017

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Prognosis Research Strategy (PROGRESS) 3: prognostic model research

PLoS medicine, 2013-02, Vol.10 (2), p.e1001381-e1001381

2013

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Anodic Transformation of a Core‐Shell Prussian Blue Analogue to a Bifunctional Electrocatalyst for Water Splitting

Advanced functional materials, 2021-11, Vol.31 (48), p.n/a

2021

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Prognosis Research Strategy (PROGRESS) 2: prognostic factor research

PLoS medicine, 2013-02, Vol.10 (2), p.e1001380-e1001380

2013

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Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Statistics in medicine, 2019-03, Vol.38 (7), p.1276-1296

2019

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Boosting the Efficiency of Photoelectrolysis by the Addition of Non-Noble Plasmonic Metals: Al & Cu

Nanomaterials (Basel, Switzerland), 2018-12, Vol.9 (1), p.1

2018

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Rethinking the Use of “Polysubstance” to Describe Complex Substance Use Patterns

Journal of general internal medicine : JGIM, 2022-09, Vol.37 (12), p.3174-3175

2022

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Interpretation of random effects meta-analyses

BMJ (Online), 2011-02, Vol.342 (7804), p.d549

International edition, 2011

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Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research

1, 2021

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Pd Ion‐Exchange and Ammonia Etching of a Prussian Blue Analogue to Produce a High‐Performance Water‐Splitting Catalyst

Advanced functional materials, 2021-03, Vol.31 (10), p.n/a

2021

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Objective Sensory Testing Methods Reveal a Higher Prevalence of Olfactory Loss in COVID-19–Positive Patients Compared to Subjective Methods: A Systematic Review and Meta-Analysis

Chemical senses, 2020-09, Vol.45 (9), p.865-874

2020

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

BMJ (Online), 2017-09, Vol.358, p.j3932

2017

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External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

BMJ (Online), 2016-06, Vol.353, p.i3140

2016

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Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey

BMJ (Online), 2012-01, Vol.344 (7838), p.d7762

International edition, 2012

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Using Metal Cation to Control the Microstructure of Cobalt Oxide in Energy Conversion and Storage Applications

Small (Weinheim an der Bergstrasse, Germany), 2022-03, Vol.18 (9), p.e2106391-n/a

2022

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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

BMJ open, 2021-07, Vol.11 (7), p.e048008-e048008

2021

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A rapid, strong, and convergent genetic response to urban habitat fragmentation in four divergent and widespread vertebrates

PloS one, 2010-09, Vol.5 (9), p.e12767

2010

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Multivariate meta-analysis: the effect of ignoring within-study correlation

Journal of the Royal Statistical Society. Series A, Statistics in society, 2009-10, Vol.172 (4), p.789-811

Riley, Richard D.

2009

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Structural Understanding of Interleukin 6 Family Cytokine Signaling and Targeted Therapies: Focus on Interleukin 11

Frontiers in immunology, 2020-07, Vol.11, p.1424-1424

2020

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Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements

Earth surface processes and landforms, 2013-09, Vol.38 (11), p.1244-1260

2013

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A guide to systematic review and meta-analysis of prediction model performance

BMJ (Online), 2017-01, Vol.356, p.i6460

2017

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Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Statistics in medicine, 2019-03, Vol.38 (7), p.1262-1275

2019

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Generation and characterisation of warm dense matter with intense lasers

Meta-analysis of individual participant data: rationale, conduct, and reporting

Effects of urbanization on resource use and individual specialization in coyotes (Canis latrans) in southern California

Random effects meta‐analysis: Coverage performance of 95% confidence and prediction intervals following REML estimation

Prognosis Research Strategy (PROGRESS) 3: prognostic model research

Anodic Transformation of a Core‐Shell Prussian Blue Analogue to a Bifunctional Electrocatalyst for Water Splitting

Prognosis Research Strategy (PROGRESS) 2: prognostic factor research

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Boosting the Efficiency of Photoelectrolysis by the Addition of Non-Noble Plasmonic Metals: Al & Cu

Rethinking the Use of “Polysubstance” to Describe Complex Substance Use Patterns

Interpretation of random effects meta-analyses

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research

Pd Ion‐Exchange and Ammonia Etching of a Prussian Blue Analogue to Produce a High‐Performance Water‐Splitting Catalyst

Objective Sensory Testing Methods Reveal a Higher Prevalence of Olfactory Loss in COVID-19–Positive Patients Compared to Subjective Methods: A Systematic Review and Meta-Analysis

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

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Assessment of publication bias, selection bias, and unavailable data in meta-analyses using individual participant data: a database survey

Using Metal Cation to Control the Microstructure of Cobalt Oxide in Energy Conversion and Storage Applications

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

A rapid, strong, and convergent genetic response to urban habitat fragmentation in four divergent and widespread vertebrates

Multivariate meta-analysis: the effect of ignoring within-study correlation

Structural Understanding of Interleukin 6 Family Cytokine Signaling and Targeted Therapies: Focus on Interleukin 11

Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements

A guide to systematic review and meta-analysis of prediction model performance

Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

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