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COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

Journal of risk research, 2020-08, Vol.23 (7-8), p.862-865

2020

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Explaining Away, Augmentation, and the Assumption of Independence

Frontiers in psychology, 2020-11, Vol.11, p.502751-502751

2020

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Propensities and Second Order Uncertainty: A Modified Taxi Cab Problem

Frontiers in psychology, 2020-10, Vol.11, p.503233-503233

2020

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Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe

Journal of clinical medicine, 2024-01, Vol.13 (2), p.334

2024

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Statistical Issues in Serial Killer Nurse Cases

Laws, 2022-10, Vol.11 (5), p.65

2022

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The Heimdall Framework for Supporting Characterisation of Learning Health Systems

BMJ health & care informatics, 2018-06, Vol.25 (2), p.77-87

2018

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Using Bayesian Networks to Model Expected and Unexpected Operational Losses

Risk analysis, 2005-08, Vol.25 (4), p.963-972

2005

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Science and law: Improve statistics in court

Nature (London), 2011-11, Vol.479 (7371), p.36-37

Fenton, Norman

2011

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Learning Health Systems: The research community awareness challenge

BMJ health & care informatics, 2018, Vol.25 (1), p.981-40

2018

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Improve statistics in court

Nature (London), 2011-11, Vol.479 (7371), p.36-37

Fenton, Norman

2011

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Risk aggregation in the presence of discrete causally connected random variables

Annals of actuarial science, 2014-09, Vol.8 (2), p.298-319

2014

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Using Bayesian networks to guide the assessment of new evidence in an appeal case

Crime science, 2016-05, Vol.5 (1), p.9-9, Article 9

2016

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A hybrid Bayesian network for medical device risk assessment and management

Reliability engineering & system safety, 2024-01, Vol.241, p.109630, Article 109630

2024

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Improved reliability modeling using Bayesian networks and dynamic discretization

Reliability engineering & system safety, 2010-04, Vol.95 (4), p.412-425

2010

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The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018)

Artificial intelligence, 2020-07, Vol.284, p.1-3

2020

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Improve statistics in court: experts must agree a set of acceptable ways to assess and present forensic evidence

Nature (London), 2011-11, Vol.479 (7371), p.36

Fenton, Norman

2011

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WITHDRAWN: Improving predictive accuracy using smart-data: The case of football teams’ evolving performance

Knowledge-based systems, 2017-01

2017

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Profiting from arbitrage and odds biases of the European football gambling market

The journal of gambling business and economics, 2013-10, Vol.7 (2), p.41-70

2013

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Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Journal of risk research, 2020-08, Vol.23 (7-8), p.866-879

2020

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The effect of risk communication on consumers’ risk perception, risk tolerance and utility of smart and non-smart home appliances

Safety science, 2024-06, Vol.174, p.106464, Article 106464

2024

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E073 Attitudes to technology-supported rheumatoid arthritis care, questionnaire study: opportunities for technology to improve RA care

Rheumatology (Oxford, England), 2023-04, Vol.62 (Supplement_2)

2023

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P113 Attitudes to Technology supported Rheumatoid Arthritis care Questionnaire study: Barriers to People with RA & their clinicians using Technology in the care pathway

Rheumatology (Oxford, England), 2023-04, Vol.62 (Supplement_2)

2023

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P133 Attitudes to Technology supported Rheumatoid Arthritis care: Opportunities & Barriers for technology in RA - Key themes from Qualitative arm of Mixed-Methods Study

Rheumatology (Oxford, England), 2023-04, Vol.62 (Supplement_2)

2023

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Whom Do We Trust on Social Policy Interventions?

Basic and applied social psychology, 2018-09, Vol.40 (5), p.249-268

2018

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Dependencies in evidential reports: The case for informational advantages

Cognition, 2020-11, Vol.204, p.104343-104343, Article 104343

2020

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COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

Explaining Away, Augmentation, and the Assumption of Independence

Propensities and Second Order Uncertainty: A Modified Taxi Cab Problem

Influence of Seasonality and Public-Health Interventions on the COVID-19 Pandemic in Northern Europe

Statistical Issues in Serial Killer Nurse Cases

The Heimdall Framework for Supporting Characterisation of Learning Health Systems

Using Bayesian Networks to Model Expected and Unexpected Operational Losses

Science and law: Improve statistics in court

Learning Health Systems: The research community awareness challenge

Improve statistics in court

Risk aggregation in the presence of discrete causally connected random variables

Using Bayesian networks to guide the assessment of new evidence in an appeal case

A hybrid Bayesian network for medical device risk assessment and management

Improved reliability modeling using Bayesian networks and dynamic discretization

The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018)

Improve statistics in court: experts must agree a set of acceptable ways to assess and present forensic evidence

WITHDRAWN: Improving predictive accuracy using smart-data: The case of football teams’ evolving performance

Profiting from arbitrage and odds biases of the European football gambling market

Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

The effect of risk communication on consumers’ risk perception, risk tolerance and utility of smart and non-smart home appliances

E073 Attitudes to technology-supported rheumatoid arthritis care, questionnaire study: opportunities for technology to improve RA care

P113 Attitudes to Technology supported Rheumatoid Arthritis care Questionnaire study: Barriers to People with RA & their clinicians using Technology in the care pathway

P133 Attitudes to Technology supported Rheumatoid Arthritis care: Opportunities & Barriers for technology in RA - Key themes from Qualitative arm of Mixed-Methods Study

Whom Do We Trust on Social Policy Interventions?

Dependencies in evidential reports: The case for informational advantages

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