Prognosis Research in Healthcare: Concepts, Methods, and Impact

Author:   Richard D. Riley (Professor of Biostatistics, Professor of Biostatistics, Research Institute of Primary Care and Health Sciences, Keele University, UK) ,  Danielle van der Windt (Professor of Primary Care Epidemiology, Professor of Primary Care Epidemiology, Research Institute of Primary Care and Health Sciences, Keele University, UK) ,  Peter Croft (Professor of Primary Care Epidemiology, Professor of Primary Care Epidemiology, Research Institute of Primary Care and Health Sciences, Keele University, UK) ,  Karel G.M. Moons (Professor of Clinical Epidemiology, Professor of Clinical Epidemiology, Julius Center for Health Sciences and Primary Care, Utrecht University Medical Centre, The Netherlands)
Publisher:   Oxford University Press
ISBN:  

9780198796619


Pages:   376
Publication Date:   24 January 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Prognosis Research in Healthcare: Concepts, Methods, and Impact


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Overview

"""What is going to happen to me?"" Most patients ask this question, or have it in the back of their minds, during a clinical encounter with a medical professional. The language used in a medical consultation usually focuses on what the problem is, and what needs to be done about it right now. However, we increasingly have access to information which allows us to estimate and influence what is likely to happen in the future. To satisfy our need to know the possible outcomes of a medical condition, we turn to prognostic information and prognosis research. By looking at characteristics of people, their health and social environment, prognosis research can identify what it is that predicts the outcome of a medical condition. This type of research analysis also helps us understand why outcomes vary across individuals and groups. Prognosis Research in Healthcare: Concepts, Methods and Impact provides an introduction to the field, and discusses how the information collected during prognosis research can be used to predict an individual patient's outcome. The book also looks at how we can develop targeted treatments based on prognosis research. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. In Prognosis Research in Healthcare: Concepts, Methods and Impact, this increasingly important topic is organised around five categories of prognostic research to provide a clear focus, coherence and structure. It is ideal for medical students, clinicians, researchers, healthcare professionals, and healthcare policy makers wishing to learn more about the field of prognosis."

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Author:   Richard D. Riley (Professor of Biostatistics, Professor of Biostatistics, Research Institute of Primary Care and Health Sciences, Keele University, UK) ,  Danielle van der Windt (Professor of Primary Care Epidemiology, Professor of Primary Care Epidemiology, Research Institute of Primary Care and Health Sciences, Keele University, UK) ,  Peter Croft (Professor of Primary Care Epidemiology, Professor of Primary Care Epidemiology, Research Institute of Primary Care and Health Sciences, Keele University, UK) ,  Karel G.M. Moons (Professor of Clinical Epidemiology, Professor of Clinical Epidemiology, Julius Center for Health Sciences and Primary Care, Utrecht University Medical Centre, The Netherlands)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   0.551kg
ISBN:  

9780198796619


ISBN 10:   0198796617
Pages:   376
Publication Date:   24 January 2019
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Part 1: Introduction to prognosis and prognosis research 1: Peter Croft, Richard D. Riley, Danielle A. van der Windt, and Karel G.M. Moons: Prognosis in healthcare 2: Peter Croft, Richard D. Riley, Danielle A. van der Windt, Karel G.M. Moons, and Harry Hemingway: A framework for prognosis research Part 2: Fundamental statistics for prognosis research 3: Richard D. Riley, Kym I.E. Snell, Karel G.M. Moons, and Thomas P.A. Debray: Fundamental statistical methods for prognosis research 4: Richard D. Riley, Kym I.E. Snell, Karel G.M. Moons, and Thomas P.A. Debray: Ten principles to strengthen prognosis research Part 3: Undertaking prognosis research 5: Danielle A. van der Windt, Harry Hemingway, Peter Croft: Overall prognosis research 6: Richard D. Riley, Karel G.M. Moons, Jill A. Hayden, Willi Sauerbrei, Douglas G. Altman: Prognostic factor research 7: Richard D. Riley, Karel G.M. Moons, Thomas P.A. Debray, Kym I.E. Snell, Ewout W. Steyerberg, Douglas G. Altman, Gary S. Collins: Prognostic model research 8: Danielle A. van der Windt, Richard D. Riley, Aroon Hingorani, Karel G.M. Moons: Predictors of treatment effect 9: Richard D. Riley, Karel G.M. Moons, Thomas P.A. Debray, Douglas G. Altman, Gary S. Collins: Systematic reviews and meta-analysis of prognosis research studies Part 4: Exemplars of prognosis research impact 10: Nadine E Foster, Danielle A. van der Windt, Kate M. Dunn, Peter Croft: Prognosis research in people with low back pain 11: Adam Timmis, Pablo Perel, Peter Croft: Prognosis research in people with coronary heart disease 12: Katherine I. Morley, Pablo Perel: Prognosis research in people with traumatic bleeding Part 5: Novel Topics in prognosis research 13: Richard D. Riley, Thomas P.A. Debray, Karel G.M.Moons: Individual participant data meta-analysis of prognosis studies 14: Kelvin P. Jordan, Karel G.M. Moons: Electronic healthcare records and prognosis research 15: Michael J. Crowther, Mark J Rutherford: Novel statistical methods for prognosis research 16: Mihaela van der Schaar, Harry Hemingway: Machine learning in prognosis research

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Author Information

Richard D. Riley is a Professor of Biostatistics at Keele University since 2014, having previous held posts at the Universities of Birmingham, Liverpool and Leicester. He is focused on statistical and methodological research for prognosis and meta-analysis, and supports clinical projects in these areas. He is also a Statistics Editor for the BMJ and a co-convenor of the Cochrane Prognosis Methods Group. Prof Riley co-leads a summer school in Prognosis Research Methods, and leads a number of statistical training courses for risk prediction and meta-analysis Professor Danielle van der Windt received her academic training in epidemiology in the Netherlands at the EMGO+ Institute for Health and Care Research of the VU University in Amsterdam where she worked in a programme of research on the diagnosis, prognosis and management of musculoskeletal disorders. She is currently a Professor of primary care epidemiology at Keele, and is part of the Centre's executive management team Professor Peter Croft is a Professor of Primary Care Epidemiology at Keele since 1994. Previously, he worked as a General Practitioner in Newcastle-under-Lyme, before training as an epidemiologist at the Medical Research Council's Environmental Epidemiology Unit in Southampton, and at the Arthritis Research Campaign's Epidemiology Research Unit in Manchester Professor Karel G.M. Moons is Professor of Clinical Epidemiology at the Julius Center for Health Sciences and Primary Care. He is Director of Research in the management team of the Julius Center, and leads the research programme 'Methodology'. Since 2005 also he has an Adjunct Professorship at VanderBilt University, Nashville, USA. Having obtained his PhD in Epidemiology at Erasmus University, Rotterdam, he has been Visiting Professor at the University of Virginia, Charlottesville, USA in 2002, and at Tokai University, Japan.

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