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020 _a9783031207587
024 7 _a10.1007/978-3-031-20758-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRA409
_b2023 EB
100 1 _aHassouna, Ahmed
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9690478
245 0 0 _aStatistics for Clinicians :
_bHow Much Should a Doctor Know?
_cby Ahmed Hassouna
250 _a1st ed. 2023
264 1 _aCham
_bSpringer International Publishing
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aExpressing and analyzing variability -- Bivariate statistical analysis -- Multivariable analysis -- Sample size calculation -- The protocol of a comparative clinical study: statistical considerations -- Introduction to meta-analysis -- Pitfalls and common errors.
520 _aHow much statistics does a clinician, surgeon or nurse need to know? This book provides an essential handbook to help appraise evidence in a scientific paper, to design and interpret the results of research correctly, to guide our students and to review the work of our colleagues. This title is written by a clinician exclusively for fellow clinicians, in their own language and not in statistical or epidemiological terms. When clinicians discuss probability, it is focussed on how it applies to the management of patients in the flesh and how they are managed in a clinical setting. Statistics for Clinicians does not overlook the basis of statistics, but reviews techniques specific to medicine with an emphasis on their application. It ensures that readers have the correct tools to hand, including worked examples, guides and links to online calculators and free software, enabling readers to execute most statistical calculations. This book will therefore be enormously helpful for many working across all fields of medicine at any stage of their career.
988 _aSpringer_Medicine_2023
650 7 _2embne
_9144772
_aEstadística médica
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-20758-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2024
_dz
_eb
_zSI