| Promoting good research practice. | |
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MedLine Citation:
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PMID: 10826155 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Embarking on a new millennium provides the stimulus both to take stock and also to look forward. In the field of medical statistics there is much to make us feel proud and excited. Rapid methodological developments together with parallel developments in computer technology have enormously expanded our statistical repertoire. At the same time, the high profile attained by the evidence-based medicine movement means that the importance of our discipline is recognized more widely then ever before. However, any medical statistician who is involved in medical publishing, or who is even a regular reader of the medical literature, must be aware of the yawning chasm between what is recognized as good statistical practice and what is actually published. Poor study design, inappropriate analysis and selective reporting are commonplace. In my opinion the most important challenge currently facing our profession is the task of bridging this chasm. |
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Authors:
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G D Murray |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Statistical methods in medical research Volume: 9 ISSN: 0962-2802 ISO Abbreviation: Stat Methods Med Res Publication Date: 2000 Feb |
Date Detail:
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Created Date: 2000-07-10 Completed Date: 2000-07-10 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9212457 Medline TA: Stat Methods Med Res Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 17-24 Citation Subset: IM |
Affiliation:
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Department of Community Health Sciences, University of Edinburgh Medical School, UK. gordon.murray@ed.ac.uk |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Consensus Development Conferences as Topic Data Interpretation, Statistical Guidelines as Topic Research / standards* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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