Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
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Session
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Time:
Friday, 11/Dec/2020:
3:10pm - 4:55pm


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Presentations

Predicting pre-eclampsia in nulliparous women using routinely-collected maternal characteristics: A model development and validation study

Ziad TA Al-Rubaie1, H Malcolm Hudson2, Gregory Jenkins3, Imad Mahmoud4, Joel G Ray5, Lisa M Askie2, Sarah J Lord1,2

1School of Medicine, The University of Notre Dame Australia, Australia; 2NHMRC Clinical Trial Centre, University of Sydney, Australia; 3Department of Obstetrics, Westmead Hospital, Australia; 4Department of Obstetrics, Auburn and Mount-Druitt and Blacktown Hospitals, Australia; 5Department of Medicine, St. Michael’s Hospital, Canada

Al-Rubaie-Ziad TA_b.pdf


Why are Machine Learning-based prediction models still unpopular in clinical practice?

Constanza L Andaur Navarro1,2, Johanna Damen1,2, Toshihiko Takada1,2, Paula Dihman3, Jie Ma3, Gary S Collins3, Ram Bajpai4, Richard D Riley4, Lotty Hooft1,2, Karel G Moons1,2

1Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, The Netherlands; 2Cochrane Netherlands, UMC Utrecht, Utrecht University, The Netherlands; 3Center for Statistics in Medicine, University of Oxford, United Kingdom; 4School of Primary, Community and Social Care, Keele University, United Kingdom

Andaur Navarro-Constanza L_b.pdf


Development of prediction models using competing risk models in big healthcare databases

Constantinos Koshiaris1, Richard Stevens1, Richard Riley2, Sarah Lay-Flurrie1, Kym Snell2, Lucinda Archer2, James Sheppard1

1University of Oxford, United Kingdom; 2University of Keele, United Kingdom

Archer-Lucinda_b.pdf


Weighted variogram analyses for estimating within-patient variance components using routine data from biomarker monitoring programmes

Simon Baldwin1,2, Alice Sitch1,2, Yemisi Takwoingi1,2, Jonathan Deeks1,2

1Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom; 2National Institute for Health Research Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, UK

Baldwin-Simon_b.pdf


Bayesian Hierarchical Models for Personalized Health Care

Nicolas Banholzer, Stefan Feuerriegel

ETH Zurich, Switzerland

Banholzer-Nicolas_b.pdf


Dealing with multiple thresholds in diagnostic test accuracy meta-analysis: application of two modelling strategies

Hanne Ann Boon1, Thomas Struyf1, Dominique Bullens2,3, Ann Van den Bruel1,4, Jan Y Verbakel1,4

1Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium; 2Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium; 3Clinical division of pediatrics, UZ Leuven, Leuven, Belgium; 4Nuffield Department of Primary Care Health Sciences, University of Oxford, UK

Boon-Hanne Ann_b.pdf


Harnessing repeated measurements of predictor variables: A review of existing methods for clinical risk prediction

Lucy M. Bull1,2, Mark Lunt1, Glen P. Martin3, Kimme Hyrich4, Jamie C. Sergeant1,2

1Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester M13 9PL, UK; 2Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester M13 9PL, UK; 3Division of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Oxford Road, Manchester M13 9PL, UK; 4National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Oxford Road, Manchester M13 9PL, UK

Bull-Lucy M_b.pdf


Adaptive sample size determination for the development of clinical prediction models

Evangelia Christodoulou1, Dirk Timmerman1,2, Maarten Van Smeden3, Ewout Steyerberg4, Ben Van Calster1,4

1Department of Development & Regeneration, KU Leuven, Leuven, Belgium; 2University Hospitals Leuven, Leuven, Belgium; 3Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands; 4Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands

Christodoulou-Evangelia_b.pdf


Propensity-based standardization to enhance the interpretation of predictive performance in individual participant data meta-analysis

Valentijn M.T. de Jong1, Jeroen Hoogland1, Karel G.M. Moons1,2, Tri-Long Nguyen1,3,4, Thomas P.A. Debray1,2

1Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, The Netherlands; 2Cochrane Netherlands, University Medical Center Utrecht, Utrecht, The Netherlands; 3Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; 4Department of Pharmacy, University Hospital Centre of Nîmes and University of Montpellier, Nîmes, France

de Jong-Valentijn M.T_b.pdf


Exploring test accuracy of faecal calprotectin for IBD using primary care electronic health records

Karoline Freeman1, Ronan Ryan2, Sian Taylor-Phillips1,3, Brian H. Willis3, Aileen Clarke1

1University of Warwick, United Kingdom; 2Devon, United Kingdom; 3University of Birmingham, United Kingdom

Freeman-Karoline_b.pdf


Multiple screening tools, multiple thresholds, multiple clinical cohorts: Evaluating screening tools for obstructive sleep apnoea

Suzanne Freeman1, Emer Brady2, Helena Polmann3, Jessica Reus3, Graziela De Luca Canto3, Noelle Robertson4, Iain Squire5, Lizelle Bernhardt5,6

1Department of Health Sciences, University of Leicester, Leicester, UK; 2Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester, UK; 3Brazilian Centre for Evidence-based Research/Centro Brasileiro de Pesquisas Baseadas em Evidências, Federal University of Santa Catarina, Florianopólis, Brazil; 4Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK; 5Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; 6Community Health Services, Leicestershire Partnership NHS Trust, Leicester, UK

Freeman-Suzanne_b.pdf


Only fools rush in! – initial data analysis is required for developing and validating prediction models

Georg Heinze1, Mark Baillie2, Marianne Huebner3

1Section for Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems; Medical University of Vienna, Vienna, Austria; 2Biostatistical Sciences and Pharmacometrics; Novartis Pharma AG, Basel, Switzerland; 3Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA

Heinze-Georg_b.pdf


Pertussis in Belgium - The challenge of using historical serial serological survey data

Sereina Annik Herzog1, Steven Abrams2,3, Amber Litzroth4, Isabelle Desombere5, Heidi Theeten1, Niel Hens1,2,3

1Vaccine and Infectious Disease Institute, University of Antwerp, Belgium; 2Department of Epidemiology and Social Medicine, University of Antwerp, Belgium; 3Data Science Institute, Hasselt University, Belgium; 4SD Epidemiology and Public Health, Sciensano, Brussels, Belgium; 5SD Infectious Diseases in Humans, Sciensano, Brussels, Belgium

Hens-Niel_b.pdf


Diagnostic accuracy of C-reactive protein for appendicitis in primary care

G.A. Holtman1, G. Blok1, E. Nikkels1, J. van der Lei2, M.Y. Berger1

1Department of General Practice and Elderly Care Medicine, University Medical Center Groningen, University of Groningen, PO Box 196, 9700 AD Groningen, the Netherlands; 2Department of Medical Informatics, Erasmus Medical Center, Rotterdam, the Netherlands

Holtman-G.A_b.pdf


Developing and validating a warfarin dose prediction model for patients in sub-Saharan Africa

Andrea L Jorgensen, Innocent G Asiimwe, Munir Pirmohamed

University of Liverpool, United Kingdom

Jorgensen-Andrea L_b.pdf


Collinearity in prognostic models for dysphagia

Artuur Leeuwenberg, Ewoud Schuit, Johannes B. Reitsma, Karel G. Moons

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht

Leeuwenberg-Artuur_b.pdf


Evaluating risk of bias and applicability in meta-analyses of individual participant data

Brooke Levis1, Kym IE Snell1, Yemisi Takwoingi2, Gary S Collins3, Karel G Moons4, Johannes B Reitsma4, Lotty Hooft4, Richard D Riley1

1Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK; 2Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK; 3Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK; 4Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands

Levis-Brooke_b.pdf


Selective Cutoff Reporting in Diagnostic Accuracy Studies of the PHQ-9 and EPDS Depression Screening Tools

Dipika Neupane1,2, Brooke Levis1,2,3, Parash Mani Bhandari1,2, Brett D Thombs1,2, Andrea Benedetti2,4, DEPRESsion Screening Data {DEPRESSD} Collaboration5

1Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; 2Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada; 3Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK; 4Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada; 5N/A

Levis-Brooke_b.pdf


Estimating the prevalence of misdiagnosis of giant cell arteritis: using a genetic test as umpire

Charikleia Chatzigeorgiou1, Jennifer H Barrett1, Javier Martin2, Ann Wendy Morgan1, Sarah Louise Mackie1

1University of Leeds, United Kingdom; 23. Instituo di Parasitologia y Biomedicina, Consejo Superior de Investigaciones Cientificas (Spanish National Research Council), Madrid, Spain

Mackie-Sarah Louise_b.pdf


Bayesian latent class analysis versus composite reference standards for estimating tuberculosis meningitis diagnostic test accuracy

Emily MacLean1,2, Mikashmi Kohli2, Nandini Dendukuri1,2

1McGill University, Canada; 2McGill International TB Centre

MacLean-Emily_b.pdf


Measuring the impact of diagnostic tests on patient management decisions within three clinical trials

Sue Mallett, Stuart Taylor, Gauraang Bhatnagar, COLON STREAMLINE Investigators, LUNG STREAMLINE Investigators, METRIC Investigators

UCL Centre for Medical Imaging, University College London, Charles Bell House, 43-45 Foley Street, W1W 7TS

Mallett-Sue_b.pdf


Ambiguous baseline definitions affect automated AKI diagnosis at emergency department

Michael S.A. Niemantsverdriet1,2, Meriem Khairoun3, Ayman El Idrissi3, Romy R Koopsen3, Imo E Hofer1, Wouter W Van Solinge1, Jan Willem Uffen3, Wouter M Tiel-Groenestege1, Karin A.H. Kaasjager3, Saskia Haitjema1

1Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands; 2SkylineDx, Lichtenauerlaan 40, 3062 ME Rotterdam, The Netherlands; 3Department of Internal Medicine, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands

Niemantsverdriet-Michael S.A_b.pdf


Real-time handling of Missing Predictor Values when implementing and using prediction models in daily practice

Steven W J Nijman1, T Katrien J Groenhof1, Jeroen Hoogland1, Michiel L Bots1, Menno Brandjes2, John JL Jacobs2, Folkert W Asselbergs3,4,5, Karel GM Moons1, Thomas PA Debray1,4

1Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands; 2LogiqCare, Ortec B.V. Zoetermeer, The Netherlands; 3Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; 4Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, United Kingdom; 5Health Data Research UK, Institute of Health Informatics, University College London, London, United Kingdom

Nijman-Steven W J_b.pdf


intelligent Liver Function Testing (iLFT): an algorithm-based pathway to increase diagnosis of liver disease

Jennifer Nobes1, Iain Macpherson1,2, Ellie Dow1, Ian Kennedy1, Michael Miller1, Elizabeth Furrie1, John Dillon2

1NHS Tayside, United Kingdom; 2University of Dundee, United Kingdom

Nobes-Jennifer_b.pdf


Recommended labels for approaches to evaluate diagnostic accuracy: the STARD ReLabel project

Maria Olsen1, Bada Yang1, Patrick M. Bossuyt1, Chris Hyde2

1Dept. of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, The Netherlands; 2Exeter Test Group, Institute of Health and Research, College of Medicine and Health, University of Exeter, UK

Olsen-Maria_b.pdf


Frequencies and patterns of microbiology test requests from general practice

Jose M. Ordonez-Mena1,2, Thomas R. Fanshawe1, Dona Foster3, Sarah Walker2, Gail Hayward1

1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; 2NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; 3Nuffield Department of Medicine, University of Oxford, Oxford, UK

Ordonez-Mena-Jose M_b.pdf


Patient and public involvement in methodological research: a case study

Laura Quinn1,2, Alice Sitch1,2, Jon Deeks1,2

1Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom; 2NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, UK

Quinn-Laura_b.pdf


A standardized framework for risk-based assessment of heterogeneity of treatment effect

Alexandros Rekkas1,2, Peter R. Rijnbeek1, David M. Kent3, Ewout W. Steyerberg1,2, David van Klaveren1,3

1Erasmus Medical Center, Netherlands; 2Leiden University Medical Center, Netherlands; 3Tufts Medical Center, USA

Rekkas-Alexandros_b.pdf


A prognostic model for overall survival in sporadic Creutzfeldt-Jakob disease

Nicole Rübsamen1, Franc Llorens2,3,4, Peter Hermann4, Matthias Schmitz4, Anna Villar-Piqué2,3,4, Stefan Goebel4, André Karch1, Inga Zerr4,5

1Institute for Epidemiology and Social Medicine, University of Münster, Domagkstraße 3, 48149 Münster, Germany; 2Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Institute Carlos III, Campus Bellvitge, Feixa LLarga s/n, 08907 L’Hospitalet de Llobregat, Barcelona, Spain; 3Bellvitge Biomedical Research Institute (IDIBELL), Avinguda de la Granvia de l’Hospitalet, 199, 08908 L’Hospitalet de Llobregat, Barcelona, Spain; 4Department of Neurology, University Medical School, Robert-Koch-Straße 40, 37075 Göttingen, Germany; 5German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Straße 3A, 37075 Göttingen, Germany

Rübsamen-Nicole_b.pdf


Novel method for assessing the effect of case-mix and model calibration on the ROC curve

Mohsen Sadatsafavi1, Paramita Saha Chaudhuri2, John Petkau3

1Faculty of Pharmaceutical Sciences, The University of British Columbia, Canada; 2Department of Epidemiology and Biostatistics, McGill University, Canada; 3Department of Statistics, The University of British Columbia, Canada

Sadatsafavi-Mohsen_b.pdf


A Permutation Test Approach to Provide Exact Inference for Incremental Gain from Nested Regression Models

Paramita Saha-Chaudhuri1, Li Cheung2, Hormuzd Katki2

1University of Vermont, Burlington, USA; 2National Cancer Institute, USA

Saha-Chaudhuri-Paramita_b.pdf


Probabilistic data standardisation of big heterogeneous datasets in biomedicine

Alexia Sampri, Nophar Geifman, Philip Couch, Niels Peek

Division of Informatics, Imaging and Data Sciences University of Manchester, Manchester, UK

Sampri-Alexia_b.pdf


Predicting Biomarker success:a new toolkit

Katerina-Vanessa Savva

Imperial College London, United Kingdom

Savva-Katerina-Vanessa_b.pdf


Assessing the impact of test measurement uncertainty on clinical and health-economic outcomes: a case study

Alison F Smith1,2, Michael P Messenger2,3, Claire T Hulme4, Peter S Hall5, Bethany Shinkins1,2

1Test Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK; 2NIHR Leeds In Vitro Diagnostic (IVD) Co-operative, Leeds, UK; 3Leeds Centre for Personalised Medicine and Health, University of Leeds, Leeds, UK; 4Health Economics Group, University of Exeter, Exeter, UK; 5Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK

Smith-Alison F_b.pdf


Beyond the laboratory: methods to assess the impact of test measurement uncertainty on outcomes

Alison F Smith1,2, Michael P Messenger2,3, Claire T Hulme4, Peter S Hall5, Bethany Shinkins1,2

1Test Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK; 2NIHR Leeds In Vitro Diagnostic (IVD) Co-operative, Leeds, UK; 3Leeds Centre for Personalised Medicine and Health, University of Leeds, Leeds, UK; 4Health Economics Group, University of Exeter, Exeter, UK; 5Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK

Smith-Alison F_b.pdf


Impact of prediction models in obstetric care: the Expect study

Pim van Montfort1, Hubertina Scheepers2, Carmen Dirksen3, Ivo van Dooren4, Linda Meertens1, Sander van Kuijk3, Ella Wijnen5, Maartje Zelis6, Iris Zwaan7, Marc Spaanderman2, Luc Smits1

1Department of Epidemiology, Maastricht University, The Netherlands; 2Department of Obstetrics and Gynecology, School for Oncology and Developmental Biology (GROW), Maastricht University Medical Centre, The Netherlands; 3Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Centre, The Netherlands; 4Department of Obstetrics and Gynecology, Sint Jans Gasthuis Weert, The Netherlands.; 5Department of Obstetrics and Gynecology, VieCuri Medical Centre, Venlo, The Netherlands.; 6Department of Obstetrics and Gynecology, Zuyderland Medical Centre, Heerlen, The Netherlands.; 7Department of Obstetrics and Gynecology, Laurentius Hospital, Roermond, The Netherlands.

Smits-Luc_b.pdf


Development and validation of prediction models for pre-eclampsia: An Individual Participant Data Meta-analysis

John Allotey1, Kym Snell2, Richard Riley2, Shakila Thangaratinam1,3

1Barts Research Centre for Women’s Health, Queen Mary University of London, UK; 2Centre for Prognosis Research, Keele University, UK; 3Institute of Metabolism and Systems Research, University of Birmingham, UK

Snell-Kym_b.pdf


External validation of prognostic models to predict pre-eclampsia: An Individual Participant Data Meta-analysis

John Allotey1, Kym Snell2, Richard Riley2, Shakila Thangaratinam1,3

1Barts Research Centre for Women’s Health, Queen Mary University of London, UK; 2Centre for Prognosis Research, Keele University, UK; 3Institute of Metabolism and Systems Research, University of Birmingham, UK

Snell-Kym_b.pdf


Simulation-based sample size calculations for studies externally validating a prediction model

Kym Snell1, Lucinda Archer1, Joie Ensor1, Laura Bonnett2, Bob Phillips3, Gary Collins4, Richard Riley1

1Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK; 2Department of Biostatistics, University of Liverpool, Liverpool, UK; 3Centre for Reviews and Dissemination, University of York, York, UK; 4Centre for Statistics in Medicine, University of Oxford, Oxford, UK

Snell-Kym_b.pdf


TRIPOD-SR: An extension to reporting guidelines for systematic reviews of prediction model studies

Kym Snell1, Brooke Levis1, Thomas Debray2, Lotty Hooft2, Paula Dhiman3, Johannes Reitsma2, Karel Moons2, Gary Collins3, Richard Riley1

1Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Keele, Staffordshire, UK; 2Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; 3Centre for Statistics in Medicine, University of Oxford, Oxford, UK

Snell-Kym_b.pdf


Use and misuse of the "calibration" slope

Richard Stevens1, Katrina Poppe2

1University of Oxford, United Kingdom; 2University of Auckland, New Zealand

Stevens-Richard_b.pdf


Statistical methods for estimating sources of variability in count biomarkers

Kostas Tryposkiadis1,2, Alice Sitch1,2, Malcolm Price1,2, Jon Deeks1,2

1Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK; 2NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK

Tryposkiadis-Kostas_b.pdf


Statistical methods for the meta-analysis of reliability estimates reported in biological variability studies

Kostas Tryposkiadis1,2, Jac Dinnes1,2, Alice Sitch1,2, Malcolm Price1,2, Jon Deeks1,2

1Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom; 2NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, UK

Tryposkiadis-Kostas_b.pdf


Pre-analytical error for three point of care venous blood testing platforms in acute ambulatory care

Thomas R Fanshawe1, Margaret Glogowska1, George Edwards1, Philip J Turner1, Ian Smith2, Rosie Steele2, Caroline Croxson1, Jordan ST Bowen2, Gail N Hayward1

1Nuffield Department of Primary Care Health Sciences, University of Oxford; 2Oxford University Hospitals NHS Foundation Trust

Turner-Philip J_b.pdf


Development of a model to predict the likelihood of a genetic variant causing familial hypercholesterolaemia

Rachel A O'Leary1,2, Samuel G Urwin2,3, Clare Lendrem2,3, Ahai Luvai4, R Dermot G Neely2, A Joy Allen2

1Northern Medical Physics and Clinical Engineering, The Newcastle-upon-Tyne Hospitals NHS Foundation Trust, UK; 2The National Institute for Health Research Newcastle In Vitro Diagnostics Co-operative, Newcastle-upon-Tyne, UK; 3Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, UK; 4Laboratory Medicine, The Newcastle-upon-Tyne Hospitals NHS Foundation Trust, UK

Urwin-Samuel G_b.pdf


Development of an application to support the identification of patients with familial hypercholesterolaemia

Rachel A O'Leary1,2, Samuel G Urwin2,3, Clare Lendrem2,3, Ahai Luvai4, R Dermot G Neely2, A Joy Allen2

1Northern Medical Physics and Clinical Engineering, The Newcastle-upon-Tyne Hospitals NHS Foundation Trust, UK; 2The National Institute for Health Research Newcastle In Vitro Diagnostics Co-operative, Newcastle-upon-Tyne, UK; 3Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, UK; 4Laboratory Medicine, The Newcastle-upon-Tyne Hospitals NHS Foundation Trust, UK

Urwin-Samuel G_b.pdf


The potential of ‘conceptually oriented’ pre-processing of covariates to improve prognostic models. A case study.

Anne Molgaard Nielsen1, Adrian Binding2, Casey Ahlbrandt-Rains3, Martin Boeker3, Stefan Feuerriegel2, Werner Vach4,5

1Department of Sports Science and Clinical Biomechanics, University of Southern Denmark; 2Department of Management, Technology, and Economics, ETH Zurich; 3Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg; 4Basel Academy for Quality and Rsearch in Medicine; 5Nordic Institute of Chiropractic and Clinical Biomechanics

Vach-Werner_b.pdf


Visualizing the results of a diagnostic accuracy study using comparison regions

Maren Eckert, Werner Vach

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany

Vach-Werner_b.pdf


Using harmonised results of different tests for a single biomarker in test accuracy meta-analysis

Yasaman Vali1, Jenny Lee1, Patrick M. Bossuyt1, Jerome Boursier2,3, Mohammad Hadi Zafarmand1

1Department of Clinical Epidemiology, Biostatistics & Bioinformatics, Amsterdam University Medical Center, Amsterdam, The Netherlands; 2Hepato-Gastroenterology Department, Angers University Hospital, Angers, France; 3HIFIH Laboratory, UPRES EA3859, Angers University, Angers France

Vali-Yasaman_b.pdf


Large-scale validation of the Prediction model Risk Of Bias ASsessment Tool(PROBAST) using a short form

Esmee Venema1, Benjamin S Wessler2, Jessica K Paulus2, Rehab Salah3, Gowri Raman2, Lester Y Leung2, Benjamin C Koethe2, Jason Nelson2, Jinny G Park2, David van Klaveren1,2, Ewout W Steyerberg1,4, David M Kent2

1Erasmus MC University Medical Center, Rotterdam, The Netherlands; 2Tufts Medical Center, Boston, MA, USA; 3Benha Faculty of Medicine, Benha, Egypt; 4Leiden University Medical Center, Leiden, The Netherlands

Venema-Esmee_b.pdf


Network meta-analysis methods for ranking the accuracy of multiple diagnostic tests

Areti Angeliki Veroniki1,2,3, Sofia Tsokani1, Yemisi Takwoingi4,5, Dimitris Mavridis1,6

1Department of Primary Education, School of Education, University of Ioannina, Ioannina, Greece; 2Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada; 3Institute of Reproductive and Developmental Biology, Department of Surgery & Cancer, Faculty of Medicine, Imperial College, London, United Kingdom; 4Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, UK; 5NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK; 6Paris Descartes University, Sorbonne Paris Cité, Faculté de Médecine, Paris, France

Veroniki-Areti Angeliki_b.pdf


Clinical Prediction Models for Patients with Acute Coronary Syndromes: Results from Independent External Validations

Benjamin S Wessler1,2, Jason Nelson1, Jinny Park1, Hannah McGinnis1, Jenica Upshaw1,2, Ben Van Calster3, David van Klaveren1,4, Ewout Steyerberg4, David Kent1

1Predictive Analytics and Comparative Effectiveness (PACE), Tufts Medical Center, United States of America; 2Division of Cardiology, Tufts Medical Center, Boston, MA; 3KU Leuven, Department of Development and Regeneration, Leuven, Belgium; 4Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands

Wessler-Benjamin S_b.pdf


Survey for elucidating potential roles for sepsis diagnostics in the UK NHS

Amanda Winter1,2, William Stephen Jones4, Anthony Rostron4,5, A. Joy Allen4, Raffaele Filieri3, D. Ashley Price2, Sara Graziadio1,2

1National Institute for Heath Research Newcastle In vitro Diagnostics Co-operative, Newcastle University, Medical School, Framlington Place, Newcastle-upon-Tyne, UK; 2The Newcastle-upon-Tyne Hospitals NHS Foundation Trust, Royal Victoria Infirmary, Queen Victoria Road, Newcastle-upon-Tyne, UK; 3Department of Marketing, Audencia Business School, 8 Route de la Jonelière, B.P. 31222 44312 Nantes, Cedex 3, France; 4Translational and Clinical Research Institute, Newcastle University, Medical School, Framlington Place, Newcastle-upon-Tyne, UK; 5South Tyneside and Sunderland NHS Foundation Trust, Kayll Road, Sunderland, UK

Winter-Amanda_b.pdf