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Clinical Data Management
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Editorial Reviews
Review
"The key to enduring research is data quality and data quality depends upon data management. How fortunate then that the start of the New Millennium sees the publication of the second edition of 'Clinical Data Management'. ... Admirably concise and authoritatively penned, it provides an excellent introduction to a subject at the heart of pharmaceutical R&D.", Dr Hugh Boardman, Partner in Boardman Clarke, Pharmaceutical Physician#
Product Description
Extensively revised and updated, with the addition of new chapters and authors, this long-awaited second edition covers all aspects of clinical data management. Giving details of the efficient clinical data management procedures required to satisfy both corporate objectives and quality audits by regulatory authorities, this text is timely and an important contribution to the literature.
The volume:
* is written by well-known and experienced authors in this area
* provides new approaches to major topics in clinical data management
* contains new chapters on systems software validation, database design and performance measures.
It will be invaluable to anyone in the field within the pharmaceutical industry, and to all biomedical professionals working in clinical research.
See all Editorial Reviews
"The key to enduring research is data quality and data quality depends upon data management. How fortunate then that the start of the New Millennium sees the publication of the second edition of 'Clinical Data Management'. ... Admirably concise and authoritatively penned, it provides an excellent introduction to a subject at the heart of pharmaceutical R&D.", Dr Hugh Boardman, Partner in Boardman Clarke, Pharmaceutical Physician#
Product Description
Extensively revised and updated, with the addition of new chapters and authors, this long-awaited second edition covers all aspects of clinical data management. Giving details of the efficient clinical data management procedures required to satisfy both corporate objectives and quality audits by regulatory authorities, this text is timely and an important contribution to the literature.
The volume:
* is written by well-known and experienced authors in this area
* provides new approaches to major topics in clinical data management
* contains new chapters on systems software validation, database design and performance measures.
It will be invaluable to anyone in the field within the pharmaceutical industry, and to all biomedical professionals working in clinical research.
See all Editorial Reviews
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Inside This Book Citations: This book cites 14 books | 6 books that cite this book Explore: Citations | Books on Related Topics | Concordance | Text Stats Key Phrases - SIPs: clinical data management process, clinical data manager, management process flow, solution development teams, data management staff (more) Key Phrases - CAPs: High Level Term, John Wiley, United States, International Conference, High Level Group Term (more) Browse Sample Pages: Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover | Surprise Me! |
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Inside This Book
(learn more)
First Sentence:
Despite the recent emphasis on electronic data capture tools, 95% of clinical data are still captured on paper and considerable resources are still applied to achieving efficient design, production and distribution of CRFs. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
clinical data management process, clinical data manager, management process flow, solution development teams, data management staff, level group terms, medicinal product development, data management departments, clinical development process,
Despite the recent emphasis on electronic data capture tools, 95% of clinical data are still captured on paper and considerable resources are still applied to achieving efficient design, production and distribution of CRFs. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
clinical data management process, clinical data manager, management process flow, solution development teams, data management staff, level group terms, medicinal product development, data management departments, clinical development process,