Letter from the RSS Covid-19 Task Force To

Total Page:16

File Type:pdf, Size:1020Kb

Letter from the RSS Covid-19 Task Force To Letter from the Royal Statistical Society Covid-19 Task Force to the Guardian regarding data transparency 7 August 2020 The Covid-19 public health crisis has placed a sharp emphasis on the role of data in government decision-making. During the current phase – where the emphasis is on Test and Trace and local lockdowns – data is playing an increasingly central role in informing policy. We recognise that the stakes are high and that decisions need to be made quickly. However, this makes it even more important that data is used in a responsible and effective manner. Transparency around the data that are being used to inform decisions is central to this. Over the past week, there have been two major data-led government announcements where the supporting data were not made available at the time. First, the announcement that home and garden visits would be made illegal in parts of northern England. The Prime Minister cited unpublished data which suggested that these visits were the main setting for transmission. Second, the purchase of two new tests for the virus that claim to deliver results within 90 minutes, without data regarding the tests’ effectiveness being published. We are concerned about the lack of transparency in these two cases – these are important decisions and the data upon which they are based should be publicly available for scrutiny, as Paul Nurse pointed out in this paper at the weekend. Government rhetoric often treats data as a managerial tool for informing decisions. But beyond this, transparency and well sign-posted data builds public trust and encourages compliance: the daily provision of statistical information was an integral part of full lockdown and was both expected and valued by the public. As champions for the use of data in policy making, set out in RSS’s data manifesto, we ask the government to recognise the importance of transparency and to promptly and prominently publish all data that underpin its decisions. Professor Sylvia Richardson (co-chair) Professor Sir David Spiegelhalter (co-chair) Professor Christl Donnelly Professor Jon Deeks Professor Peter Diggle Professor Sheila Bird Simon Briscoe On behalf of the Royal Statistical Society Covid-19 Task Force .
Recommended publications
  • Royal Statistical Scandal
    Royal Statistical Scandal False and misleading claims by the Royal Statistical Society Including on human poverty and UN global goals Documentary evidence Matt Berkley Draft 27 June 2019 1 "The Code also requires us to be competent. ... We must also know our limits and not go beyond what we know.... John Pullinger RSS President" https://www.statslife.org.uk/news/3338-rss-publishes-revised-code-of- conduct "If the Royal Statistical Society cannot provide reasonable evidence on inflation faced by poor people, changing needs, assets or debts from 2008 to 2018, I propose that it retract the honour and that the President makes a statement while he holds office." Matt Berkley 27 Dec 2018 2 "a recent World Bank study showed that nearly half of low-and middle- income countries had insufficient data to monitor poverty rates (2002- 2011)." Royal Statistical Society news item 2015 1 "Max Roser from Oxford points out that newspapers could have legitimately run the headline ' Number of people in extreme poverty fell by 137,000 since yesterday' every single day for the past 25 years... Careless statistical reporting could cost lives." President of the Royal Statistical Society Lecture to the Independent Press Standards Organisation April 2018 2 1 https://www.statslife.org.uk/news/2495-global-partnership-for- sustainable-development-data-launches-at-un-summit 2 https://www.statslife.org.uk/features/3790-risk-statistics-and-the-media 3 "Mistaken or malicious misinformation can change your world... When the government is wrong about you it will hurt you too but you may never know how.
    [Show full text]
  • Elect New Council Members
    Volume 43 • Issue 3 IMS Bulletin April/May 2014 Elect new Council members CONTENTS The annual IMS elections are announced, with one candidate for President-Elect— 1 IMS Elections 2014 Richard Davis—and 12 candidates standing for six places on Council. The Council nominees, in alphabetical order, are: Marek Biskup, Peter Bühlmann, Florentina Bunea, Members’ News: Ying Hung; 2–3 Sourav Chatterjee, Frank Den Hollander, Holger Dette, Geoffrey Grimmett, Davy Philip Protter, Raymond Paindaveine, Kavita Ramanan, Jonathan Taylor, Aad van der Vaart and Naisyin Wang. J. Carroll, Keith Crank, You can read their statements starting on page 8, or online at http://www.imstat.org/ Bani K. Mallick, Robert T. elections/candidates.htm. Smythe and Michael Stein; Electronic voting for the 2014 IMS Elections has opened. You can vote online using Stephen Fienberg; Alexandre the personalized link in the email sent by Aurore Delaigle, IMS Executive Secretary, Tsybakov; Gang Zheng which also contains your member ID. 3 Statistics in Action: A If you would prefer a paper ballot please contact IMS Canadian Outlook Executive Director, Elyse Gustafson (for contact details see the 4 Stéphane Boucheron panel on page 2). on Big Data Elections close on May 30, 2014. If you have any questions or concerns please feel free to 5 NSF funding opportunity e [email protected] Richard Davis contact Elyse Gustafson . 6 Hand Writing: Solving the Right Problem 7 Student Puzzle Corner 8 Meet the Candidates 13 Recent Papers: Probability Surveys; Stochastic Systems 15 COPSS publishes 50th Marek Biskup Peter Bühlmann Florentina Bunea Sourav Chatterjee anniversary volume 16 Rao Prize Conference 17 Calls for nominations 19 XL-Files: My Valentine’s Escape 20 IMS meetings Frank Den Hollander Holger Dette Geoffrey Grimmett Davy Paindaveine 25 Other meetings 30 Employment Opportunities 31 International Calendar 35 Information for Advertisers Read it online at Kavita Ramanan Jonathan Taylor Aad van der Vaart Naisyin Wang http://bulletin.imstat.org IMSBulletin 2 .
    [Show full text]
  • Spatio-Temporal Point Processes: Methods and Applications Peter J
    Johns Hopkins University, Dept. of Biostatistics Working Papers 6-27-2005 Spatio-temporal Point Processes: Methods and Applications Peter J. Diggle Medical Statistics Unit, Lancaster University, UK & Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, [email protected] Suggested Citation Diggle, Peter J., "Spatio-temporal Point Processes: Methods and Applications" (June 2005). Johns Hopkins University, Dept. of Biostatistics Working Papers. Working Paper 78. http://biostats.bepress.com/jhubiostat/paper78 This working paper is hosted by The Berkeley Electronic Press (bepress) and may not be commercially reproduced without the permission of the copyright holder. Copyright © 2011 by the authors Spatio-temporal Point Processes: Methods and Applications Peter J Diggle (Department of Mathematics and Statistics, Lancaster University and Department of Biostatistics, Johns Hopkins University School of Public Health) June 27, 2005 1 Introduction This chapter is concerned with the analysis of data whose basic format is (xi; ti) : i = 1; :::; n where each xi denotes the location and ti the corresponding time of occurrence of an event of interest. We shall assume that the data form a complete record of all events which occur within a pre-specified spatial region A and a pre-specified time- interval, (0; T ). We call a data-set of this kind a spatio-temporal point pattern, and the underlying stochastic model for the data a spatio-temporal point process. 1.1 Motivating examples 1.1.1 Amacrine cells in the retina of a rabbit One general approach to analysing spatio-temporal point process data is to extend existing methods for purely spatial data by considering the time of occurrence as a distinguishing feature, or mark, attached to each event.
    [Show full text]
  • Design and Analysis Issues in Family-Based Association
    Emerging Challenges in Statistical Genetics Duncan Thomas University of Southern California Human Genetics in the Big Science Era • “Big Data” – large n and large p and complexity e.g., NIH Biomedical Big Data Initiative (RFA-HG-14-020) • Large n: challenge for computation and data storage, but not conceptual • Large p: many data mining approaches, few grounded in statistical principles • Sparse penalized regression & hierarchical modeling from Bayesian and frequentist perspectives • Emerging –omics challenges Genetics: from Fisher to GWAS • Population genetics & heritability – Mendel / Fisher / Haldane / Wright • Segregation analysis – Likelihoods on complex pedigrees by peeling: Elston & Stewart • Linkage analysis (PCR / microsats / SNPs) – Multipoint: Lander & Green – MCMC: Thompson • Association – TDT, FBATs, etc: Spielman, Laird – GWAS: Risch & Merikangas – Post-GWAS: pathway mining, next-gen sequencing Association: From hypothesis-driven to agnostic research Candidate pathways Candidate Hierarchical GWAS genes models (ht-SNPs) Ontologies Pathway mining MRC BSU SGX Plans Objectives: – Integrating structural and prior information for sparse regression analysis of high dimensional data – Clustering models for exposure-disease associations – Integrating network information – Penalised regression and Bayesian variable selection – Mechanistic models of cellular processes – Statistical computing for large scale genomics data Targeted areas of impact : – gene regulation and immunological response – biomarker based signatures – targeting
    [Show full text]
  • MRC Biostatistics Unit 2014
    MRC Biostatistics Unit 2014 Index 2 Director's introduction 4 Introduction to the Unit 6 Statistical Genomics 7 Focus: Detecting Streptococcus pneumoniae serotypes 8 Design and Analysis of Randomised Trials 9 Focus: Smoking cessation trials 10 Evidence Synthesis to Inform Health 11 Focus: Characterising epidemics 12 Complex and Observational Studies in Longitudinal Data 13 Focus: Modelling of disease 14 Emerging Research 14 Statistics and machine learning for precision medicine 15 Stratified Medicine 16 Training and Career Development 17 PhD programme 18 Careers focus 19 Public Engagement 21 Knowledge Transfer 21 Software and Courses 22 Workshops 22 BSU Timeline 24 Maps and contact details to the Unit Director's Introduction The Medical Research Council has had a statistical unit since its inception in 1913. One hundred years on, the Biostatistics Unit (BSU) is one of the largest groups of biostatisticians in Europe, and a major centre for research, training and knowledge transfer, with the mission “to advance biomedical science by maintaining an international leading centre for the development, application and dissemination of statistical methods”. The critical mass of methodological, applied and computational expertise assembled amongst its staff provides a unique and stimulating environment in cutting edge biostatistics, with a balance between innovation and dissemination of statistical methods. Pioneering work involving fundamental aspects of medical statistics, clinical trials and public health has been developed by eminent members throughout the BSU’s rich history. The randomised controlled trial in medicine, Bradford Hill’s criteria for causality and the 2-stage Armitage Doll theory of carcinogenesis are early landmarks. In the eighties, the BSU responded to national priorities and produced HIV AIDS UK projections.
    [Show full text]
  • Invited Conference Speakers
    Medical Research Council Conference on Biostatistics in celebration of the MRC Biostatistics Unit's Centenary Year 24th - 26th March 2014 | Queens' College Cambridge, UK Invited Conference Speakers Professor Tony Ades, School of Social and Community Medicine, University of Bristol Tony Ades is Professor of Public Health Science at the University of Bristol and leads a programme on methods for evidence synthesis in epidemiology and decision modelling. This was originally funded through the MRC Health Services Research Collaboration. With Guobing Lu, Nicky Welton, Sofia DIas, Debbi Caldwell, Malcolm Price, Aicha Goubar and many collaborators in Cambridge and elsewhere, the programme has contributed original research on Network Meta- analysis, multi-parameter synthesis models for the epidemiology of HIV and chlamydia, synthesis for Markov models, expected value of information, and other topics. Tony was a member of the Appraisals Committee at the National Institute for Clinical Excellence (NICE), 2003-2013, and was awarded a lifetime achievement award in 2010 by the Society for Research Synthesis Methodology. Seminar Title: Synthesis of treatment effects, Mappings between outcomes, and test responsiveness Tuesday 25 March, 11.00-12.30 session Abstract: Synthesis of treatment effects, mappings between outcomes, standardisation, and test responsiveness AE Ades, Guobing Lu, Daphne Kounali. School of Social and Community Medicine, University of Bristol Abstract: We shall report on some experiments with a new class of models for synthesis of treatment effect evidence on “similar” outcomes, within and between trials. They are intended particularly for synthesis of patient- and clinician- reported outcomes that are subject to measurement error. These models assume that treatment effects on different outcomes are in fixed, or approximately fixed, ratios across trials.
    [Show full text]
  • UK Royal Statistical Society Awards for Smith, Reid, Cressie
    Volume 45 • Issue 3 IMS Bulletin April/May 2016 UK Royal Statistical Society CONTENTS awards for Smith, Reid, Cressie 1 RSS Awards: Adrian Smith, The UK’s Royal Statistical Society (RSS) has announced the recipients of its honours for Nancy Reid, Noel Cressie 2016. Three IMS Fellows were selected to receive the Guy Medals in Gold and Silver, and 2 Members’ News: Peter the Barnett Award. Whittle; Xihong Lin; Dennis The Guy Medal in Gold is awarded to SirAdrian Smith for sustained excellence in the Cook development of Bayesian statistical methodology and its application. Professor Sir Adrian Smith, FRS, is vice-chancellor of the University of London; he was formerly the Queen 3 Profile: Sanghamitra Bandyopadhyay; Geetha Mary University principal and worked at the UK Government’s Department for Business, Ramachandran, 1949–2016 Innovation and Skills. His work in statistics has been critical to the transformation of Bayesian thinking from 4 Obituary: Peter Gavin Hall philosophical debate to practical methodology, includ- 5 Student Puzzle 13: ing path-breaking work on the now ubiquitous use deadline extended of Monte Carlo methods for conducting inference in 6 Calls for nominations; realistically complex models. He played an instrumental Tweedie Award winner role in broadening the focus of the RSS from the statistical community to the impact that the discipline 7 Medallion Lecture preview: Adrian Smith Gerda Claeskens of statistics has on modern society, an approach that he continued within the Civil Service on leaving academia. 8 Recent papers: Stochastic Systems; Probability Surveys The Guy Medal in Silver for 2016 is awarded toNancy Reid for her path-breaking paper “Parameter Orthogonality and Approximate Vlada’s Point: Peer Review I 9 Conditional Inference,” written jointly with Sir David 10 Buy IMS books Cox, which is one of the most highly cited and influen- tial papers in RSS journals within the last 30 years.
    [Show full text]
  • Previous Recipients of the Society's Honours
    Previous recipients of Gold Medals 1892 The Rt Hon Charles Booth, FRS 1894 Sir Robert Giffen, FRS 1900 Sir J Athelsten Baines 1907 Professor F Y Edgeworth 1908 Major P G Craigie, CB 1911 Mr G Udny Yule 1920 Dr T H C Stevenson, CBE 1930 Mr A W Flux, CB 1935 Professor A L Bowley 1945 Professor M Greenwood, FRS 1946 Professor R A Fisher, FRS 1953 Professor A Bradford Hill, CBE 1955 Professor E S Pearson, CBE 1960 Dr F Yates, FRS 1962 Sir Harold Jeffreys, FRS 1966 Professor J Neyman 1968 Dr M G Kendall 1969 Professor M S Bartlett, FRS 1972 Professor H Cramer 1973 Sir David Cox, FRS 1975 Professor G A Barnard 1978 Professor Sir Roy Allen 1981 Professor D G Kendall, FRS 1984 Professor H E Daniels 1986 Professor B Benjamin 1987 Professor R L Plackett 1990 Professor P Armitage 1993 Professor G E P Box 1996 Professor P Whittle 1999 Professor M Healy 2002 Professor D Lindley 2005 Professor J Nelder 1 2008 Professor J Durbin 2011 Professor C R Rao 2013 Sir John Kingman 2014 Professor Bradley Efron 2016 Sir Adrian Smith 2019 Professor Stephen Buckland 2020 Sir David Spiegelhalter Previous recipients of Silver Medals 1893 Sir John Glover 1895 Mr A L Bowley 1897 Mr F J Atkinson 1899 Professor C S Loch 1900 Sir Richard Crawford, KCMG 1901 Mr T A Welton 1902 Mr R H Hooke 1903 Mr Y Guyot 1904 Mr D A Thomas 1905 Mr R H Rew 1906 Dr W H Shaw, FRS 1907 Mr N A Humphreys, ISO 1909 Sir Edward Brabrook, CB 1910 Mr G H Wood 1913 Dr R Dudfield 1914 Mr S Rowson 1915 Professor S J Chapman 1918 Professor J Shield Nicholson 1919 Dr J C Stamp 1921 Mr A W Flux, CB 1927
    [Show full text]
  • Peter Gavin Hall, 1951–2016 It Is with Great Sadness That We Report the Passing Away of Peter Gavin Hall on January 9, Contents 2016, in Melbourne, Australia
    Volume 45 • Issue 2 IMS Bulletin March 2016 Peter Gavin Hall, 1951–2016 It is with great sadness that we report the passing away of Peter Gavin Hall on January 9, CONTENTS 2016, in Melbourne, Australia. He was 64. 1 Peter Hall, 1951–2016 During the past four decades Peter was a monumental figure in the statistics commu- nity, both internationally and within his home country of Australia. 2 Members’ News: Manny Parzen, 1929–2016; Xihong Peter was born in Sydney in 1951 and earned degrees from the University of Sydney, Lin, Peter Diggle the Australian National University and Oxford University. He spent many years at the Australian National University, and moved to the University of Melbourne in 2006. He 3 Letter to the Editor also held a one-quarter appointment at the University of California, Davis, that com- 4 Introducing the New menced in 2005. Researchers Group Peter was one of the most influential and prolific theoretical statisticians in the history 5 Student Puzzle 13; Bulletin of the field. The breadth of problems he tackled, and the depth and creativity with which returns to print he solved them, are unique. He made seminal contributions concerning the bootstrap, 6 Obituary: Subramanian rates of convergence, functional data analysis, martingale theory, measurement error mod- “Kesan” Panchapakesan; Asit els, nonparametric function estimation and smoothing parameter selection and published Basu 4 books and approximately 600 journal articles. His contributions were recognized with fellowships from the Australian Academy of Science, the Academy of Social Sciences 7 Meeting report: Meta- Analysis Workshop in Australia, and the UK’s Royal Society, and election as a foreign associate of the US National Academy of Sciences, as well as honorary doctorates and awards that include 8 Recent papers: Electronic the Committee of Presidents of Statistical Societies Award in 1989 and the Guy Medal in Journal of Statistics; Statistics Surveys Silver from the Royal Statistical Society in 2011.
    [Show full text]
  • Primer: the Use of Statistics in Legal Proceedings
    THE USE OF STATISTICS IN LEGAL PROCEEDINGS: A PRIMER FOR COURTS 1 The use of statistics in legal proceedings A PRIMER FOR COURTS 2 THE USE OF STATISTICS IN LEGAL PROCEEDINGS: A PRIMER FOR COURTS The use of statistics in legal proceedings: a primer for courts Issued: November 2020 DES6439 ISBN: 978-1-78252-486-1 The text of this work is licensed under the terms of the Creative Commons Attribution License, which permits unrestricted use provided the original author and source are credited. The licence is available at: creativecommons.org/licenses/by/4.0 Images are not covered by this licence. To request additional copies of this document please contact: The Royal Society 6 – 9 Carlton House Terrace London SW1Y 5AG T +44 20 7451 2571 E [email protected] W royalsociety.org/science-and-law This primer can be viewed online at royalsociety.org/science-and-law THE USE OF STATISTICS IN LEGAL PROCEEDINGS: A PRIMER FOR COURTS 3 Contents Summary, introduction and scope 5 1. What is statistical science? 6 1.1 Use of statistical science and types of evidence 8 1.2 Communication of the probative value when statistical science is used 10 2. Probability and the principles of evaluating scientific evidence 13 2.1 What probability is not 13 2.2 Personal probabilities 14 2.3 Datasets containing relevant past observations 16 2.4 Probative value expressed as a likelihood ratio 17 2.5 Bayes’ theorem and the likelihood ratio 20 3. Issues with the potential for misunderstanding 22 3.1 Prosecutor’s fallacy 22 3.2 Defence attorney’s fallacy 22 3.3 Combining evidence 22 3.4 Coincidences and rare events 24 3.5 Interpretation of ‘beyond reasonable doubt’ and ‘balance of probabilities’ 24 4.
    [Show full text]
  • New IMS President Welcomed
    Volume 49 • Issue 7 IMS Bulletin October/November 2020 New IMS President welcomed As you will have noticed, there was no physical IMS Annual Meeting this year, as CONTENTS it was due to be held at the Bernoulli–IMS World Congress in Seoul, which is now 1 New IMS President and postponed to next year. This meant that the IMS meetings that would normally have Council meet taken place there were held online instead, including the handover of the Presidency 2 Members’ news: David (traditionally done by passing the gavel, but this year with a virtual elbow bump!). Madigan, Rene Carmona, Susan Murphy [below left] handed the Presidency to Regina Liu [below right]. Michael Ludkovski, Philip Ernst, Nancy Reid 4 C.R. Rao at 100 6 COPSS Presidents’ Award interview; Call for COPSS nominations 8 Nominate for IMS Awards; Breakthrough Prizes 9 New COPSS Leadership Look out for an article from Regina in the next issue. Award; World Statistics Day; There was also a virtual IMS Council Meeting this year, also held via Zoom, which Saul Blumenthal included discussions about how the IMS can recruit more new members — and, 10 Obituaries: Hélène Massam, crucially, retain our existing members. If you have any thoughts on this, do share Xiangrong Yin them with Regina: [email protected]. There was also an update on the plans for 12 Radu’s Rides: The Stink of the 2022 IMS Annual Meeting, which will be held in London, just before the COLT Mathematical Righteousness meeting (http://www.learningtheory.org/), with a one-day workshop of interest to both communities held in between the meetings.
    [Show full text]
  • David Donoho's Gauss Award
    Volume 47 • Issue 7 IMS Bulletin October/November 2018 David Donoho’s Gauss Award David Donoho is the recipient of the 2018 Carl Friedrich Gauss Prize, the major prize CONTENTS in applied mathematics awarded jointly by the International Mathematical Union 1 Donoho receives Gauss (IMU) and the German Mathematical Union. Award at ICM Bestowed every four years since 2006, the prize 2–3 Members’ news: COPSS honors scientists whose mathematical research Awards: Richard Samworth, has generated important applications beyond the Bin Yu, Susan Murphy; CR Rao, mathematical field—in technology, in business, Herman Chernoff, DJ Finney or in people’s everyday lives—and this award 4 Interview: Richard Samworth acknowledges David’s impact on a whole genera- tion of mathematical scientists. 5 COPSS Award nominations David Donoho was commended by the IMU David Donoho. Photo: IMU 6 How to nominate a Fellow President Shigefumi Mori for his “fundamental 7 Other IMS Award contribution to mathematics” during the opening ceremony of ICM 2018 in Rio de nominations Janeiro, Brazil. After the award was announced, David spoke of the joy he has experienced when 9 More nominations: Parzen Prize, Newbold Prize theories he has developed earlier in his career are applied to everyday life. “There are things I’ve done decades ago, and when I see things happen in the real world, it makes 10 Report on WNAR/IMS me so proud. The power we have in moving the world gives me a great deal of satisfac- Meeting tion in my career choice.” 11 Student Puzzle Corner He said that a career in math is not limited to pure math, and publication in 12 Recent papers: Annals of journals.
    [Show full text]