Statistical Methods in Medical Research
Statistical Methods in Medical Research is a highly ranked, peer reviewed scholarly journal and is the leading vehicle for articles in all the main areas of medical statistics and therefore an essential reference for all medical statisticians. It is particularly useful for medical researchers dealing with data and provides a key resource for medical and statistical libraries, as well as pharmaceutical companies.
This unique journal is devoted solely to statistics and medicine and aims to keep professionals abreast of the many powerful statistical methods now available to the medical profession. As new methods are constantly adopted by statisticians working both inside and outside the medical environment, this review journal aims to satisfy the increasing demand for accurate and up-to-the-minute information.
Why choose Statistical Methods in Medical Research?
- Contains both reviews and original papers of the latest statistical developments relevant to medical research
- Covers all areas of medical statistics
- Full of well-written papers by leading experts in the field
- Accessible to a wide audience of medical statisticians and statistically minded medical researchers
- An indispensable reference for medical statisticians, statistical libraries and pharmaceutical companies.
Books available to review from the US Book Review Editor
Books available to review from the UK Book Review Editor
Click here for the full list of Statistical Methods in Medical Research back issues
This journal is a member of the Committee on Publication Ethics (COPE).
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Submit your manuscript today at https://mc.manuscriptcentral.com/smmr.
Statistical Methods in Medical Research is a highly ranked, peer reviewed scholarly journal and is the leading vehicle for review and non-review articles in all the main areas of medical statistics. It is therefore an essential reference for all medical statisticians. It is particularly useful for medical researchers dealing with data and it provides a key resource for medical and statistical libraries, as well as pharmaceutical companies.
This unique journal is devoted solely to statistics and medicine and aims to keep professionals abreast of the many powerful statistical techniques now available to the medical profession. As techniques are constantly adopted by statisticians working both inside and outside the medical environment, this review journal aims to satisfy the increasing demand for accurate and up-to-the-minute information.
Why choose Statistical Methods in Medical Research?
- Covers all areas of medical statistics
- Full of statistics and statistical techniques
- Contains the latest, accurate information
- An indispensable reference for medical statisticians, statistical libraries and pharmaceutical companies.
Sign up for the latest table of content alerts.
| Marta Garcia-Finana | University of Liverpool, UK |
| Chris Metcalfe | Bristol University, UK |
| Lili Tian | The State University of New York (SUNY) at Buffalo, USA |
| Graham Dunn | University of Manchester, UK |
| Brian Everitt | King's College, London, UK |
| Theodore Holford | Yale University, USA |
| Andrew Forbes | Monash University, Australia |
| Roee Gutman | Brown University, USA |
| Yulei He | U.S. Centers for Disease Control and Prevention, USA |
| Torsten Hothorn | University of Zurich, Switzerland |
| David Hughes | University of Liverpool, UK |
| Mizanur Khondoker | University of East Anglia, UK |
| Evangelos Kontopantelis | University of Manchester, UK |
| Jialiang Li | National University of Singapore, Singapore |
| Dongliang Wang | SUNY Upstate Medical University, USA |
| Per Andersen | University of Copenhagen, Denmark |
| Sanjib Basu | University of Illinois at Chicago, USA |
| Michael Brammer | King's College London, UK |
| Marc Buyse | International Drug Development Institute, Belgium |
| James Carpenter | Ann Arbor, Michigan, USA |
| K.C. Carriere | University of Alberta, USA |
| Eric Chi | North Carolina State University, USA |
| Itai Dattner | University of Haifa, Israel |
| Daniela De Angelis | University of Cambridge, UK |
| Stephen Duffy | Queen Mary University of London, UK |
| Lisa Hampson | Novartis Pharma AG, Switzerland |
| Brian Healy | Harvard Medical School, USA |
| Theodore Holford | Yale University, USA |
| C Jennison | University of Bath, UK |
| Byron Jones | Pfizer Global Research and Development, USA |
| Mark Kelson | Exeter University, UK |
| Sabine Landau | King's College London, UK |
| Kenneth Lange | University of California, Los Angeles, USA |
| Andrew B Lawson | Medical University of South Carolina, USA |
| Morven Leese | King's College London, UK |
| Ruosha Li | The University of Texas Health Science Center at Houston, USA |
| Xiaomei Liao | Harvard University, USA |
| Ruitao Lin | The University of Texas MD Anderson Cancer Center, USA |
| Aiyi Liu | NICHD/NIH, USA |
| Tanzy Love | University of Rochester, USA |
| Glen Martin | University of Manchester, UK |
| Ben Reiser | University of Haifa, Israel |
| Abdus Sattar | Case Western Reserve University, USA |
| S. Senn | Glasgow, UK |
| Daniel Stahl | King's College London, UK |
| Nigel Stallard | University of Warwick, UK |
| Andrew Titman | Lancaster University, UK |
| Brian D.M. Tom | MRC Biostatistics Unit, UK |
| Mark van der Laan | University of California, USA |
| Bo Wang | North Carolina A&T State University, USA |
| James Wason | Newcastle University, UK |
| Ian White | MRC Clinical Trials Unit at UCL, UK |
| Tu Xu | Novo Nordisk, USA |
| Guan Yu | University of Pittsburgh, USA |
| Bo Zhang | Harvard Medical School, USA |
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