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020 _a9789811576669
024 7 _a10.1007/978-981-15-7666-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRB37
_b2020 EB
245 0 0 _aPopulation Biobank Studies :
_bA Practical Guide
_cedited by Zhengming Chen.
250 _aFirst edition 2020
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XVIII, 202 páginas)
_b120 ilustraciones, 43 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aBiomedical and Life Sciences (SpringerNature-11642)
490 0 _aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505 0 _a1 Epidemiological studies: an overview of principles and methods -- 2 Design, implementation and management of biobank studies -- 3 Planning, organisation and management of fieldwork in biobank studies -- 4 Collection, processing, and management of biological samples in biobank studies -- 5 Monitoring long-term health outcomes of biobank participants by record linkages -- 6 Verification and adjudication of health outcomes in prospective cohort studies -- 7 Development and application of IT systems in biobank studies -- 8 Management and curation of multi-dimensional data in biobank studies.
520 3 _aThis book describes some of the key epidemiological principles, scientific approaches and quality assurance frameworks required to design and conduct biobank studies in various settings. Using examples from contemporary biobanks, the book addresses the design features and practical procedures needed in order to launch and manage biobank studies, including consent and regulatory approval, the organisation of field work, management of data and biological samples, follow-up and verification of disease outcomes, development of IT systems for data collection, quality assurance and study management. Over the last two decades, several large biobank studies have been initiated in different populations, intended to greatly enhance the development of precision medicine. Contemporary biobank studies are extremely large and complex, and involve several decades of follow-up. Such studies pose major challenges in terms of ensuring rapid recruitment, obtaining high-quality data, minimising loss to follow-up, reliably classifying disease outcomes, and optimising the use of the biological samples collected. In this regard, the key to success lies not in planning the perfect study, but in planning the most appropriate, reliable, sustainable and future-proof study given the practical constraints of available resources, time and capacity. The authors of this handbook are epidemiologists, clinicians, software engineers, and laboratory and data scientists with extensive experience in conducting large biobank studies. The eight chapters can be read separately or together, and provide readers with essential information on how to design, implement and manage these studies. The state-of-the-art, innovative and scalable approaches and methodologies presented here are intended to stimulate the development of further population-based and hospital-based biobank studies in diverse populations.
988 _aSpringer_BiomedLife_dic2020
650 7 _2embne
_aDiagnóstico de laboratorio
_9413180
700 1 _aChen, Zhengming
_eeditor literario
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811576652
776 0 8 _iPrinted edition:
_z9789811576676
776 0 8 _iPrinted edition:
_z9789811576683
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-7666-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE