Dr Peter WG Tennant
- Position: Associate Professor of Health Data Science
- Areas of expertise: Data Science; Epidemiology; Biostatistics; Causal Inference; Causal Diagrams; Directed Acyclic Graphs; Maternal and Child Health; Pregnancy; Obesity; Diabetes
- Email: P.W.G.Tennant@leeds.ac.uk
- Location: Leeds Institute for Data Analytics, Level 11 Worsley Building, University of Leeds, Leeds, LS2 9NL
- Website: Introduction to Causal Inference Course | Alan Turing Institute | Twitter | LinkedIn | Googlescholar | ORCID
Profile
I am an Epidemiologist and Data Scientist with a primary interest in adapting and translating contemporary causal inference methods into the health and social sciences
CONTENTS
- Current roles
- Research interests
- Publications
- Funding awards
- Esteem indicators
- Student supervison
- Student education
- Engagement and media activities
CURRENT ROLES
- Associate Professor of Health Data Science, Leeds Institute for Data Analytics, University of Leeds
- Fellow, Alan Turing Institute for Data Science and Artificial Intelligence
- Lead, Causal Inference Interest Group, Alan Turing Institute
- Lead, Introduction to Causal Inference Course for Health and Social Scientists
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RESEARCH INTERESTS
- Causal inference
- Reproductive Epidemiology
- Longitudinal Epidemiology
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PUBLICATIONS
HIGHLIGHTED ARTICLES
- Berrie L, Arnold KF, Tomova GD, Gilthorpe MS, Tennant PWG. Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving derived variables and compositional data. Am J Epidemiol. In Press.
- Tomova GD, Gilthorpe MS, Tennant PWG. Theory and performance of substitution models for estimating relative causal effects in nutritional epidemiology. Am J Clin Nutr, 2022 [epub ahead of print]. DOI: 10.1093/ajcn/nqac188.
- Tomova GD, Arnold KJ, Gilthorpe MS, Tennant PWG. Adjustment for energy intake in nutritional research: a causal inference perspective. Am J Clin Nutr, 2022;115(1):189-198. DOI: 10.1093/ajcn/nqab266.
- Tennant PWG, Arnold KF, Ellison GTH, Gilthorpe MS. Analyses of 'change scores' do not estimate causal effects in observational data. Int J Epidemiol 2021 [epub ahead of print]. DOI: 10.1093/ije/dyab050.
- Tennant PWG, Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations. Int J Epidemiol, 2021; 50(2):620-632. .
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OTHER ARTICLES
- Poppe L, Steen J, Loh WW, Crombez G, De Block F, Jacobs N, Tennant PWG, Van Cauwenberg J, De Paepe A. How to develop causal directed acyclic graphs for observational health research: a scoping review. Health Psychology Review. In Press.
- Haber NA, Wieten SE, Rohrer JM, Arah OA, Tennant PWG, Stuart EA, Murray EJ et al. Causal and Associational Language in Observational Health Research: A Systematic Evaluation. Am J Epidemiol, 2022 [epub ahead of print]. DOI: 10.1093/aje/kwac137
- van Zwieten A, Tennant PWG, Kelly-Irving M, Blyth FM, Teixeira-Pinto A, Khalatbari-Soltani S. Avoiding overadjustment bias in social epidemiology through appropriate covariate selection: a primer. J Clin Epidemiol, 2022 [epub ahead of print]. DOI: 10.1016/j.jclinepi.2022.05.021.
- Arnold KF, Gilthorpe MS, Alwan NA, Heppenstall AJ, Tomova GD, McKee M, Tennant PWG. Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study. PLOS One 2022; 17(4): e0263432. DOI: 10.1371/journal.pone.0263432.
- Gadd SC, Combera A, Tennant PWG, Gilthorpe MS, Heppenstall AJ. The utility of multilevel models for continuous-time feature selection of spatio-temporal networks. Computers, Environment and Urban Systems, 2022; 91:101728. DOI: 10.1016/j.compenvurbsys.2021.101728.
- Westreich D, Edwards JK, Tennant PWG, Murray EJ, van Smeden M. Choice of outcome in COVID-19 studies and implications for policy: mortality and fatality. Am J Epidemiol, 2022;191(2):282-286. DOI: 10.1093/aje/kwab244.
- Tennant PWG, Doxford-Hook E, Flynn L, Kershaw K, Goddard JJ, Stacey T. Fasting plasma glucose, diagnosis of gestational diabetes and the risk of large-for-gestational-age: a regression discontinuity analysis of routine data. BJOG, 2022;129(1):82-89. DOI: 10.1111/1471-0528.16906.
- Wilkinson J, Time to reality check the promises of machine learning-powered precision medicine. Lancet Digital Health, 2020; 2(12): E677-80. Tennant PWG.
- Arnold KF, Davies V, de Kamps M, Tennant PWG, Mbotwa J, Gilthorpe MS. Reflection on modern methods: Generalised linear models for prognosis and intervention — Theory, practice, and implications for machine learning. Int J Epidemiol, 2020; 49(6):2074-82. DOI: 10.1093/ije/dyaa049.
- Arnold KF, Berrie L, Tennant PWG, Gilthorpe MS. A causal inference perspective on the analysis of compositional data. Int J Epidemiol, 2020; 49(4):1307-13. DOI: 10.1093/ije/dyaa021.
- Gadd SC, Tennant PWG, Heppenstall AJ, Boehnke JR, Gilthorpe MS. Analysing trajectories of a longitudinal exposure: a causal perspective on common methods in lifecourse research. PLoS One 2019;14(12):e0225217. DOI: 10.1371/journal.pone.0225217.
- Stacey T, Tennant PWG, et al. Gestational diabetes and the risk of late stillbirth: a case-control study from England, UK. BJOG, 2019; 126(8):973-82. DOI: 10.1111/1471-0528.15659.
- Berrie L, Ellison GT, Norman PD, Baxter PD, Feltbower RG, Tennant PWG, Gilthorpe MS. The association between childhood leukaemia and population mixing: an artefact of focusing on clusters? Epidemiology, 2018; 30(1):75-82. doi: 10.1097/EDE.0000000000000921
- KF Arnold, GTH Ellison, SC Gadd, J Textor, PWG Tennant, A Heppenstall, MS Gilthorpe. Adjustment for time-invariant and time-varying confounders in ‘unexplained residuals’ (UR) models for longitudinal data within a causal framework, and associated challenges. Stat Methods Med Res, 2018;.DOI: 10.1177/0962280218756158
- Best KE, Tennant PWG, Rankin J. Survival, by Birth Weight and Gestational Age, in Individuals With Congenital Heart Disease: A Population-Based Study. J Am Heart Assoc, 2017; 6(7):e005213. DOI: 10.1161/JAHA.116.005213
- Glinianaia SV, Tennant PWG, Rankin J. Risk estimates of recurrent congenital anomalies in the UK: a population-based register study. BMC Medicine, 2017; 15(1):20. DOI: 10.1186/s12916-017-0789-5
- Horridge K, Tennant PWG, Balu R, Rankin J. Variation in health care for children and young people with cerebral palsies: a retrospective multicentre audit study. Dev Med Child Neurol, 2015; 57(9):844-51.DOI: 10.1111/dmcn.12740
- Salotti JA, Tennant PWG, Windebank K, Rankin J. Langerhans Cell Histiocytosis in Children with Congenital Anomalies: a population-based record linkage study. Birth Defects Res A Clin Mol Teratol, 2015;103(2):157-60. DOI: 10.1002/bdra.23350
- Tennant PWG, Bilous RW, Prathapan S, Bell R. Risk and recurrence of serious adverse outcomes in the first and second pregnancies of women with pre-existing diabetes. Diabetes Care, 2015; 38(4):610-9. DOI: 10.2337/dc14-1888
- Tennant PWG, Glinianaia SV, Wellesley D, Draper ES, Kurinczuk JJ, Tonks AM, Tucker DF, Wreyford B, Rankin J. Epidemiology of Partial Urorectal Septum Malformation Sequence (or 'persistent cloaca'): a population-based study in seven regions of England and Wales, 1985-2010. Arch Dis Child Fetal Neonatal Ed, 2014; 99(5):F413-8. DOI: 10.1136/archdischild-2014-306027
- Glinianaia SV, Tennant PWG, Crowder D, Nayar R, Bell R. Fifteen-year trends and predictors of preparation for pregnancy in women with pre-conception Type 1 and Type 2 diabetes: a population-based cohort study. Diabetic Med, 2014; 31(9):1104-13. DOI: 10.1111/dme.12460
- Tennant PWG, Glinianaia SV, Bilous RW, Rankin J, Bell R. Pre-existing diabetes, maternal glycated haemoglobin, and the risks of fetal and infant death: a population-based study. Diabetologia, 2014; 57(2):285-294. DOI: 10.1007/s00125-013-3108-5
- Newham JJ, Glinianaia SV, Tennant PWG, Rankin J, Bell R. Improved antenatal detection of congenital anomalies in women with pre-gestational diabetes: population-based cohort study. Diabetic Med, 2013; 30(12):1442-1448. DOI: 10.1111/dme.12293
- Bell R, Tennant PWG, McParlin C, Pearce MS, Adamson AJ, Rankin J, Robson SC. Measuring physical activity in pregnancy: a comparison of accelerometry and self-completion questionnaires in overweight and obese women. Eur J Obstet Gynecol Reprod Biol, 2013; 170(1):90–95. DOI: 10.1016/j.ejogrb.2013.05.018
- Tennant PWG, Parker L, Thomas LE, Craft WG, Pearce MS. Childhood infectious disease and premature death from cancer: a prospective cohort study. Eur J Epidemiol, 2013; 28(3):257-265. DOI: 10.1007/s10654-013-9775-1
- Hannon T, Tennant PWG, Rankin J, Robson SC. Epidemiology, natural history, progression and postnatal outcome of severe fetal ventriculomegaly. Obstet Gyneco, 2012; 120(6):1345-1353. DOI: 10.1097/AOG.0b013e3182732b53.
- Glinianaia SV, Tennant PWG, Bilous RW, Rankin J, Bell R. HbA1c and birthweight in women with pre-conception type 1 and type 2 diabetes: a population-based cohort study. Diabetologia, 2012; 55(12):3193-3203. DOI: 10.1007/s00125-012-2721-z
- Best KE, Tennant PWG, Addor MC, et al. Epidemiology of small intestinal atresia in Europe: a register-based study. Arch Dis Child Fetal Neonatal Ed, 2012; 97(5):F353-F358. DOI: 10.1136/fetalneonatal-2011-300631
- Best KE, Tennant PWG, Bell R, Rankin J. Impact of maternal body mass index on the antenatal detection of congenital anomalies. BJOG, 2012; 119(12):1503-1511. DOI: 10.1111/j.1471-0528.2012.03462.x
- Rankin J, Tennant PWG, Bythell M, Pearce MS. Predictors of survival in children born with Down syndrome; a registry based study. Pediatrics, 2012; 129(6):e1373-e1381.DOI: 10.1542/peds.2011-3051.
- Bell R, Glinianaia S, Tennant PWG, Bilous R, Rankin J. Peri-conception hyperglycaemia & nephropathy are associated with risk of congenital anomaly in women with pre-existing diabetes: a population-based cohort study. Diabetologia, 2012; 55(4):936-947. DOI: 10.1007/s00125-012-2455-y
- Tennant PWG, Samarasekera SD, Pless-Mulloli T, Rankin J. Sex differences in the prevalence of congenital anomalies: a population-based study. Birth Defects Res A Clin Mol Teratol, 2011;91(10):894-901. DOI: 10.1002/bdra.22846.
- Pearce MS, Tennant PWG, Mann KD, et al. Lifecourse predictors of mammographic density: The Newcastle Thousand Families cohort Study. Breast Cancer Res Treat, 2012; 131(1):187-95. DOI: 10.1007/s10549-011-1708-7
- Kinnunen TI, Tennant PWG, McParlin C, Poston L, Robson SC, Bell R. Agreement between pedometer and accelerometer in measuring physical activity in overweight and obese pregnant women. BMC Public Health, 2011; 11(1), 501. DOI: 10.1186/1471-2458-11-501
- Mann KD, Tennant PWG, Parker L, Unwin NC, Pearce MS. The relatively small contribution of birth weight to blood pressure at age 49-51 years in the Newcastle Thousand Families Study. J Hypertens, 2011; 29(6), 1077-1084. DOI: 10.1097/HJH.0b013e328346d76c
- Tennant PWG, Rankin J, Bell R. Maternal obesity & the risk of fetal and infant death; a cohort study from the North of England. Hum Reprod, 2011; 26(6):1501-1511. DOI: 10.1093/humrep/der052
- Sethna F, Tennant PWG, Rankin J, Robson SC. Prevalence, natural history, and clinical outcome of mild-moderate ventriculomegaly: a population-based study. Obstet Gyneco, 2011; 117(4), 867-876. DOI: 10.1097/AOG.0b013e3182117471
- McParlin C, Robson SC, Tennant PWG, et al. Objectively measured physical activity in pregnancy: a study in obese and overweight women. BMC Pregnancy Childbirth, 2010; 10(1), 76. DOI: 10.1186/1471-2393-10-76.
- Pearce MS, Ahmed A, Tennant PWG, Parker L, Unwin NC. Lifecourse Predictors of Adult Fibrinogen Levels: The Newcastle Thousand Families Study. Int J Cardiol, 2010; 155(2), 206-11. DOI: 10.1016/j.ijcard.2010.09.053.
- Rankin J, Tennant PWG, Stothard KJ, Bythell M, Summerbell CD, Bell R. Maternal body mass index & congenital anomaly risk: a cohort study. Int J Obesity, 2010; 34(9):1371-1380. DOI: 10.1038/ijo.2010.66.
- Tennant PWG, Pearce MS, Bythell M, Rankin J. 20-year survival of children born with congenital anomalies: a population-based study. Lancet, 2010; 375(9715):649-656. DOI: 10.1016/S0140-6736(09)61922-X
- Tennant PWG, Gibson GJ, Parker L, Pearce MS. Childhood Respiratory Illness and Lung Function at Ages 14 and 50 Years. Chest, 2010; 137(1), 146-155. DOI: 10.1378/chest.09-0352
- Stothard KJ, Tennant PWG, Bell R, Rankin J. Maternal Overweight & Obesity & the Risk of Congenital Anomalies: A Systematic Review & Meta-analysis. JAMA, 2009; 301(6):636-650. DOI: 10.1001/jama.2009.113
- Tennant PWG, Gibson GJ, Pearce MS. Lifecourse predictors of adult respiratory function: Results from the Newcastle Thousand Families Study. Thorax, 2008; 63(9), 823-830. DOI: 10.1136/thx.2008.096388
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PUBLISHED LETTERS
- Tomova GD, Arnold KF, Gilthorpe MS, Tennant PWG. Reply to WC Willett et al. [Letter]. Am J Clin Nutr, 2022. DOI: 10.1093/ajcn/nqac115/6613262
- Tennant PWG & Murray EJ. The Quest for Timey Insights into COVID-19 Should Not Come at the Cost of Scientific Rigour [Letter]. Epidemiology, 2021;31(1):e2. DOI: 10.1097/EDE.0000000000001258
- Alwan NA et al. Evidence informing the UK's COVID-19 public health response must be transparent. [Letter] Lancet, 2020 (epub ahead of print) DOI: 10.1016/S0140-6736(20)30667-X
- Stacey T, Tennant PWG. Authors’ reply re: Gestational diabetes and the risk of late stillbirth: a case–control study from England, UK. [Letter] BJOG, 2019; 126(9): 1184. DOI: 10.1111/1471-0528.15810
- Berrie L, Ellison GTH, Norman PD, Baxter PD, Feltbower RG, Tennant PWG, Gilthorpe MS. Authors’ Response: Re: Childhood Leukemia and Population Mixing. [Letter] Epidemiology, 2019; 30(4):e26–e27. doi: 10.1097/EDE.0000000000001018
- Tennant PWG, Glinianaia SV, Bilous RW, Rankin J, Bell R. Should women with diabetic nephropathy considering pregnancy continue ACE inhibitor or angiotensin II receptor blocker therapy until pregnancy is confirmed? Reply to Lewis G and Maxwell AP. [Letter] Diabetologia, 2014; 57(5):1084-1085. DOI: 10.1007/s00125-014-3191-2.
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PRE-PRINTS
- Tennant PWG, Tomova GD, Murray EJ, Arnold KF, Fox MP, Gilthorpe MS. Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data. ArXiv. DOI: 10.48550/arXiv.2302.01822
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FUNDING AWARDS
RESEARCH AWARDS
- De Kamps M, Gilthorpe MS, Tennant PWG. (2022) Generalising Data Science. The Alan Turing Institute for Data Science and Artificial Intelligence, £225,000
- Tomova G, Gilthorpe MS, Harrison W, Tennant PWG (PI). (2019) Doctoral Scholarship: Evaluating the use of anthropometric composite variables for prediction and causal inference in cardio-metabolic research. The Alan Turing Institute for Data Science and Artificial Intelligence, £92,500
- Tennant PWG. (2018) Turing Fellowship: Improving the use and understanding of causal statistics in social science research. The Alan Turing Institute for Data Science and Artificial Intelligence. ~£5,000
- Salotti J, Tennant PWG, Windebank K, Rankin J. (2012) Histiocytic disorders in children with congenital anomalies; a population-based record linkage study. Newlife Foundation for Disabled Children, £14,899
- Tennant PWG (PI), Glinianaia SV, Rankin J. (2011) Investigating the epidemiology of partial urorectal septum malformation sequence: a population-based study using data from the British Isles Network of Congenital Anomaly Registers (BINOCAR). Newlife Foundation for Disabled Children, £14,956
- Pearce MS, Gibson GJ, Tennant PWG. (2008) Lifecourse predictors of respiratory function and the link to systemic inflammation: a follow-up at age 61 years. British Lung Foundation, £24,761
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OTHER FUNDING AWARDS
- Gilthorpe MS, Tennant PWG. (2019) Bursaries funding for Third Leeds Summer School in Causal Inference with Observational Data. Society for Social Medicine & Populaton Health, £4,760
- Gilthorpe MS, Tennant PWG. (2017) Bursaries funding for 2017 LIDA Summer School in Advanced Modelling Strategies for Robust Causal Inference with Observational Data. Society for Social Medicine, £3,441
- Tennant PWG, Pearce A, Bhopal R, Mckee M, Lacey R, Leyland A, Clarke, A (2017) Funding for SSM one-day event on Health and Brexit. Health Foundation, £4,300
- Bhala N, Goodman A, Tennant PWG (2012) Funding for inaugural SSM one-day pre-conference workshop for early career researchers. Medical Research Council, £3,500
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ESTEEM INDICATORS
PANEL & COMMITTEE POSITIONS
- Alan Turing Institute, UK:
- Causal Inference Interest Group (Lead: 2019-)
- Cancer Research UK, UK
- Epidemiology Expert Review Panel (Member: 2019-2021)
- Society for Epidemiological Research, USA
- Education Committee (Member: 2019-)
- Society for Social Medicine and Population Health, UK and Ireland
- Mid-Career Researcher Subcommittee (Chair: 2022-)
- Main Committee (Member: 2012 & 2022-, Honorary Secretary: 2015-2019)
- Executive Officers Committee (Honorary Secretary: 2016-2019)
- Health & Brexit One-day Event Organising Committee (Member: 2016-2017)
- Early Career Researcher Subcommittee (Chair: 2012, Member: 2011 & 2013)
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DOCTORAL EVALUATION AND EXAMINATION
- Sørbye LM. PhD thesis (2019). Maternal weight, weight change and perinatal outcomes: Can physical activity and gestational weight gain modify the risk? University of Bergan, Norway. First opponent.
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INVITED PRESENTATIONS
- 'DAGs have fulfilled their promise' at International Epidemiology Association (IEA) World Congress of Epidemiology (WCE) 2023 (September 2024; Cape Town, South Africa). Invited by IEA WCE 2023 Organising Committee.
- 'Lord’s “paradox” explained: the 50-year warning on the use of ‘change scores’ in observational data' at University College London (UCL) event on ‘Problems in the use of 'change scores' in causal inference’ (March 2024; London, UK). Invited by Michalis Katsoulis (UCL, UK)
- 'Introduction to causal inference' for International Society for Geriatric Oncology (March 2024; delivered online). Invited by Sophie Pilleron (Luxembourg Institute of Health, Luxembourg)
- 'An introduction to causal inference and directed acyclic graphs (DAGs): why should I care?' for EuroQol Research Foundation (December 2023; delivered online). Invited by EuroQol Research Foundation.
- 'The Importance of Causal Inference for Data Science and AI' at Defence Science and Technology Lab (DSTL) Inspirational Lecture Series 2023 (November 2023; UK, delivered online). Invited by Keith Hermiston (DSTL, UK).
- 'The State of Artificial Intelligence in Assisted Reproduction' at Canadian Fertility and Andrology Society (CFAS) Annual Meeting 2023 (September 2023; Toronto, Canada). Invited by CFAS Annual Meeting 2023 Organising Committee.
- 'Adjustment for energy intake in nutritional research: a causal inference perspective' at Network in Epidemiology and Nutrition (NEON) Annual Meeting 2023 (June 2023; Sweden, delivered online). Invited by NEON Annual Meeting 2023 Organising Committee.
- 'Lord’s “paradox” explained: the 50-year warning on the use of ‘change scores’ in observational data' at the Royal Holloway Centre for Robust Inference in a Digital Economy event on causal inference (London, UK). Invited by Dr Francesco Cordoni (Royal Holloway University of London, UK).
- 'Introduction to Causal Inference' at Ohio State University (March 2023; Columbus, USA; delivered online). Invited by Kristen Henkaline (Ohio State University, USA).
- 'Introduction to Causal Inference' at The Dogs Trust DataHive Seminar Series (November 2022, UK; delivered online). Invited by Dr Ben Cooper (The Dogs Trust, UK)
- 'Key challenges for causal research' at World Health Organization Global Outbreak Alert and Response Network Roadshow (September, 2022; Nepal; delivered online). Invited by Dr Victor del Rio Vilas (WHO, Brazil)
- 'From Hype to Hospital: What are the challenges for AI in healthcare?' at Pan Wales Alan Turing Institute on Health and Medicine (September 2022; Cardiff, UK). Invited by Dr Emily Bebbington (Bangor University, UK).
- 'AI has a long way to prove its worth in embryology and ART' at European Society of Human Reproduction and Embryology (ESHRE) 38th’s Annual Meeting (July 2022; Milan, Italy). Invited by ESHRE 38th’s Annual Meeting Organising Committee.
- 'Analyses of change-scores do not estimate causal effects in observational data' at Boston Children’s Hospital Biostatistics Seminar Series (March 2022, Boston, USA; delivered online). Invited by Dr Paul Mitchel (Boston Children’s Hospital, Boston, USA).
- 'Use of Directed Acyclic Graphs (DAGs) to identify confounders in applied health research' at Society for Epidemiological Research (SER) Journal Club (January 2022; USA; delivered online). Invited by Dr Jennifer Mongioli (SER, USA, and Harvard TH Chan School of Public Health, USA)
- 'Causal inference in health and social science research: a primer' at Canadian Medical Association Journal (CMAJ) Seminar Series (October 2021; Ottawa, Canada; delivered online). Invited by Kirsten Patrick (Editor-in-Chief, CMAJ, Canada).
- 'Why analyses of change-scores do not estimate causal effects in observational data' at American Statistican Association (ASA) Section on Statistics in Epidemiology (September 2021; USA; delivered online). Invited by Prof Charles Hal (ASA, USA, and Albert Einstein College of Medicine, New York, USA)
- 'Introduction to causal inference and directed acyclic graphs' at UK Reproducibility Network (UKRN) Training Workshop (July 2021 and February 2022; UK; delivered online). Invited by Prof Marcus Munafo (UKRN, UK, and University of Bristol, Bristol, UK)
- 'Diabetes and the risk of late stillbirth’ at Diabetes UK Professional Conference (April 2021; UK; delivered online). Invited by Diabetes UK Organising Committee (UK).
- 'Why algorithmic interpretability needs more than transparency' at John Hopkins Bloomberg School of Public International Vaccine Access Center Seminar Series Health (February 2021; Baltimore, USA; delivered online). Invited by Dr Naor Bar-Zeev (John Hopkins Bloomberg School of Public Health, Baltimore, USA)
- 'Table 2 Fallacy: Or why interpretation needs more than transparency' at RSS Workshop: 'Interpretable Machine Learning & Causal Inference' (December 2020; UK; delivered online). Invited by Dr Richard Tomsett (IBM Research Europe, London, UK)
- ‘Richard Doll Lecture: Lord's Paradox and the problem with change-scores‘ at Nuffield Department of Population Health, University of Oxford (December 2020; Oxford, UK; delivered online). Invited by Dr Gracia Fellmeth (University of Oxford, Oxford, UK).
- ‘Resolving Lord’s Paradox and Why Change-scores Don’t Capture Change’ at Berlin Epidemiological Methods Colloquium, Berlin, Germany (December 2020; Berlin, Germany; delivered online). Invited by Dr Jessica Rohman (Universitätsmedizin Berlin, Berlin, Germany).
- 'Analyses of change: a causal inference perspective' at RSS Medical Section Session: 'Solutions to Causal Inference' (May 2019, Leeds, UK). Invited by RSS Medical Section, UK.
- 'Acknowledging the Third Pillar of Data Science' at Causal Inference in Epidemiology Seminar Series, Nuffield Department for Population Health, University of Oxford (March 2019, Oxford, UK). Invited by Dr Sarah Floud. (University of Oxford, Oxford, UK)
- 'Causal inference' at ESRC White Rose: Advanced Quantitative Methods Taster Day (January 2018; Sheffield, UK). Invited by Dr Gwilym Pryce. (University of Sheffield, Sheffield, UK)
- 'Analytical Challenges with N-of-1 Data' at UK Society for Behavioural Medicine Pre-Conference Workshop on 'Working Together to Advance Personalised Behavioural Medicine using N-of-1 Methods' (December 2017; Liverpool, UK). Invited by Dr Nicki O'Brien (Newcastle University, Newcastle, UK)
- 'Using N-of-1 data to inform design of personalised interventions: what can we learn from causal inference methods?' at 'How Can N-of-1 Methods Contribute to Health Psychology Research and Practice? Developing and Advancing Methods for Personalised Behaviour Change' (October 2017; Newcastle, UK). Invited by Dr Suzanne McDonald (Newcastle University, Newcastle, UK).
- 'Intention-to-tweet: Taking statistics to social media' at Burwalls Annual Meeting for Medical Statistics Lecturers (June 2017; Nottingham, UK). Invited by Dr Matthew Grainge (University of Nottingham, Nottingham, UK).
- 'Introduction to Directed Acyclic Graphs' at Research Unit of Obstetrics and Gynaecology, University of Southern Denmark (May 2017; Odense, Denmark). Invited by Prof Ellen Nohr (University of Southern Denmark, Denmark, UK).
- 'Obesity and diabetes in pregnancy and the risk of congenital anomalies' at Leeds Institute of Genetics, Health and Therapeutics (LIGHT), University of Leeds (January 2014; Leeds, UK). Invited by Dr Richard Feltbower (University of Leeds, Leeds, UK).
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- Highest Scoring Abstract (Shortlisted) at the Society for Social Medicine 66th Annual Scientific Meeting (2022)
- Best Poster Presentation (Winner) at Society for Epidemiologic Research 2022 Meeting (2022)
- Rising Star Award (Nominated) at Society for Perinatal and Pediatric Epidemiology (2020). Nominated by: Dr Dominique Heinke (Massachusetts Department of Public Health), Dr Eleanor Murray (Boston University), and Dr Mollie Wood (University of Harvard).
- THE Innovative Teaching Award (Nominated) at Times Higher Education Awards (2019). Nominated by: University of Leeds MSc Health Data Analytics, Class of 2018/19
- Best Blogger (Shortlisted) at Mind Media Awards (2014)
- Best Poster Presentation (Runner-up) at Society for Social Medicine 57th Annual Scientific Meeting (2013)
- Highest Scoring Abstract (Shortlisted) at the Society for Social Medicine 56th Annual Scientific Meeting (2012)
- Young Investigator Award (Winner) for Best Poster Presentation at 19th International Epidemiology Association World Congress of Epidemiology (2011)
- Young Investigator Award (Shortlisted) for Best Oral Presentation at 19th International Epidemiology Association (IEA) World Congress of Epidemiology (2011)
- Best Oral Presentation (Runner-up) at Newcastle University Institute of Health & Society / Institute of Neuroscience Research Day (2011)
- Highest Scoring Abstract (Winner) at the Society for Social Medicine 54th Annual Scientific Meeting (2010)
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STUDENT SUPERVISION
RESEARCH POSTGRADUATE SUPERVISION
- De Beznac C, lead supervisor. Causality in Complex Systems. PhD (Leeds Institute for Data Analytics) at University of Leeds and Alan Turing Institute. Current.
- Tomova G, lead supervisor. Evaluating the use of anthropometric composite variables for prediction and causal inference in cardio-metabolic research. PhD (Leeds Institute for Data Analytics) at University of Leeds and Alan Turing Institute. Current.
- Gadd S, secondary supervisor. Development and application of statistical methods for addressing the heterogeneity of data collection intervals common in longitudinal datasets. PhD (School of Geography) at University of Leeds. Graduated 2021.
- Alghamdi A, secondary supervisor. The Associations between Poor Sleep in Pregnancy and Obstetric, Perinatal and Neonatal Outcomes. PhD (School of Medicine) at University of Leeds. Graduated 2018.
- Alfawaz R, secondary supervisor. Exploring the relationship between metabolic syndrome and sleep among adults in the UK. PhD (School of Medicine) at University of Leeds. Graduated 2017.
- Al Afif N, secondary supervisor. Social, health, and lifestyle predictors of sleep during pregnancy. PhD (School of Medicine) at University of Leeds. Graduated 2017.
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TAUGHT POSTGRADUATE SUPERVISION
- Wilcock N, primary supervisor. Predicting turnour in general practice: a machine learning approach. MRes in Health Data Science. Current.
- Brown H, secondary supervisor. Quantification of inaccuracies of effect estimate in multimorbidity research. MSc in Health Data Analytics. Graduated 2021.
- Philips R, secondary supervisor. Determining blood pressure treatment from frailty: A question of post-diction? MSc in Medical Statistics. Graduated 2019.
- Tomova G, lead supervisor. To what extent has routine adjustment for total energy intake biased the apparent effect of individual dietary components on health outcomes? MSc in Health Data Analytics at University of Leeds. Graduated 2019.
- Craig Z, lead supervisor. Is the association between gestational weight gain and pregnancy complications an artefact of mathematical coupling? MSc in Epidemiology and Biostatistics at University of Leeds. Graduated 2018.
- Eversfield C, secondary supervisor. Latent class modelling for stratification on mediators. MSc in Epidemiology and Biostatistics at University of Leeds. Graduated 2018.
- Hamoni R, lead supervisor. Could ‘collider-bias’ explain ethnic-specific differences in the risk of diabetes for a given body size? MSc in Epidemiology and Biostatistics at University of Leeds. Graduated 2018.
- Rosca A, lead supervisor. Birth by Caesarean section and the risk of asthma and eczema. MSc in Epidemiology and Biostatistics at University of Leeds. Graduated 2018.
- Celebi S, lead supervisor. Is the joint effect of ethnicity and Body Mass Index on the risk of type II diabetes an artefact of composite variable confounding? MSc in Epidemiology and Biostatistics at University of Leeds. Graduated 2017.
- Illingworth L, secondary supervisor. A Randomised Controlled Crossover Trial of a Commercial Sleep Application (Sleep Cycle) using: an unmasked control and a sham application. MSc in Epidemiology and Biostatistics at University of Leeds. Graduated 2017.
- Raza F, secondary supervisor. Maternal age and the risk of structural congenital anomalies. MSc in Public Health and Health Services Research at Newcastle University. Graduated 2009.
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STUDENT EDUCATION
PROGRAMME LEADERSHIP
- Deputy Programme Leader, MSc Health Data Analytics, University of Leeds (2018-2021)
- Deputy Programme Leader, MSc Epidemiology & Biostatistics, University of Leeds (2017-2019)
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MODULE LEADERSHIP
- Introduction to Health Data Science (EPIB5040M), School of Medicine, University of Leeds (2018-2021)
- Modelling Strategies for Causal Inference with Observational Data (EPIB5045M), School of Medicine, University of Leeds (2018-2021)
- Core Epidemiology (DSUR5059M), School of Dentistry, University of Leeds (2018-2021)
- Core Epidemiology, School of Medicine, University of Leeds (2017-2018)
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LECTURES, SEMINARS, AND ASSESSMENT
- MSc Health Data Analytics, MSc Epidemiology & Biostatistics, MSc Medical Statistics, University of Leeds (2018-2021)
- MSc Epidemiology and Biostatistics & MSc in Medical Statistics (University of Leeds, 2017-2018)
- Core Epidemiology
- Advanced Modelling Strategies
- Research Project
- MSc Health Informatics (University of Leeds, 2017-2018)
- Clinical Knowledge Management and Decision Support Systems
- MSc Dental Public Health, MSc Doctor of Dentistry (University of Leeds, 2017-2018)
- Core Epidemiology
- MSc Public Health and Health Services Research (Newcastle University, 2011-2014)
- Systematic Reviews
- MRes Medical and Molecular Biosciences (Newcastle University, 2008-2011)
- Epidemiology
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ENGAGEMENT AND MEDIA ACTIVITIES
PRESS CONTRIBUTIONS
- The Times (UK)
- Horton R, Alwan N, Orcutt M, Shridar D, Tennant PWG. Coronavirus modelling ‘must be made clear’. 19 March, 2020.
- The Guardian (UK)
- Tennant PWG. 'Can a 30-second chat with a GP really trigger weight loss?' 28 October, 2016.
- Tennant PWG et al. 'Public health the key to cutting stillbirths.' 25 November, 2015.
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BLOG CONTRIBUTIONS
- Fuse Open Science Blog (9 posts)
- Christmas Geekery. 24 December, 2013
- The Pig Observation. 30 May, 2013
- Reaching for the blue rubber chicken. 06 December, 2012.
- From middle-class to world-class. 18 July, 2012
- Nothing personal. 14 June, 2012.
- Academic rivalry. 15 May, 2012
- The art of conferencing. 24 April, 2012.
- Nothing like riding a bike. 04 April 2012.
- A perineal what? 22 March, 2012.
- PhD2Published (1 invited post)
- Collaborative writing. 03 October, 2012.
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PODCAST CONTRIBUTIONS
- AJCN in Press (1 episode)
- Energy Adjustment Strategies In Nutritional Epidemiology. 28 September, 2021
- The Turing Podcast (2 episodes)
- Episode 13: Being an epidemiologist in 2020. 15 August, 2020.
- Episode 5: Cause and Effect. 13 May, 2020
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YOUTUBE PRESENTATIONS
- ‘Introduction To Causal Inference And Directed Acyclic Graphs’ (8000+ views). 09 February, 2022.
- ‘Selection Bias and UK Biobank’ (1000+ views). 25 October, 2021.
- 'Table 2 Fallacy: Or why interpretation needs more than transparency' (4500+ views). 27 January, 2021.
- 'Lord's Paradox "uncovered": The mind-blogging truth behind the 50-year puzzle' (2000+ views) 08 December, 2020.
- 'Causal inference: recognising the third pillar of contamporary data science' (3000+ views). 16 April, 2019.
- 'Using Twitter as an academic researcher' (1200+ views). 02 April, 2013.
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TWITTER PROFILE
- @PWGTennant (16k+ followers)
- Named on 100+ lists with titles including, 'Epidemiology', 'Population health', 'Methodology', 'Higher Education', and 'Science communication'.
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PUBLIC ENGAGEMENT
- 'What is Data Science?'. Eat Drink Do, London, UK. 27 November, 2019.
- This stand-up comedy set was delivered as part of the 'Bright Club from the Alan Turing Institute' public engagement event to ≈80 paying members of the public at a commercial comedy club.
- 'Eight Minutes of Avoidance'. Stand Comedy Club, Newcastle upon Tyne, UK. 26 November, 2013.
- This stand-up comedy set was delivered as part of the 'Bright Club North East' public engagement event to ≈150 paying members of the public at a commercial comedy club. The YouTube recording has over 800 views.