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Statistical Methods in Medical Research

An International Review Journal

eISSN: 14770334 | ISSN: 09622802 | Current volume: 33 | Current issue: 6 Frequency: Monthly

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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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.

 

 

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Editor-in-Chief
Marta Garcia-Finana University of Liverpool, UK
Chris Metcalfe Bristol University, UK
Lili Tian The State University of New York (SUNY) at Buffalo, USA
Founding Editors
Graham Dunn University of Manchester, UK
Brian Everitt King's College, London, UK
Theodore Holford Yale University, USA
Associate Editors
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
Dongliang Wang SUNY Upstate Medical University, USA
Editorial Board
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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