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336 _aTexto
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710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
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020 _a9783319937915
024 7 _a10.1007/978-3-319-93791-5
_2doi
050 4 _aRB155-155.8
_b2018 EB
100 1 _aChan, Bertram K. C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/163182312
245 1 0 _aBiostatistics for Human Genetic Epidemiology
_cby Bertram K. C. Chan.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XVI, 355 páginas 85 ilustraciones, 44 ilustraciones a color)
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aAdvances in Experimental Medicine and Biology
_x0065-2598
_v1082
490 0 _aBiomedical and Life Sciences (Springer-11642)
505 0 _aPreface -- Dedication -- Contents -- Introduction To Human Genetic Epidemiology -- Data Analysis Using R Programming -- Applied Statistics For Human Genetics Using R -- Applied Human Genetic Epidemiology -- Human Genetic Epidemiology Using R -- References -- Subject Index.
520 3 _aThis book illustrates how biostatistics may numerically summaries human genetic R, and may be used successfully to solve problems in quantitative Genetic Epidemiology Biostatistics for Human Genetic Epidemiology provides statistical methodologies and R recipes for human genetic epidemiologic problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related human genetic epidemiology, with R codes illustrations for various examples. This clear and concise book covers human genetic epidemiology, using R in data analysis, including multivariate data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology - leading the readers through an effective epidemiologic model, from simple to advanced levels. Classical mathematical, probabilistic, and statistical theory are thoroughly discussed and presented. This book also presents R as a calculator and using R in data analysis. Additionally, it covers Advanced Human Genetic Data Concepts, the Study of Human Genetic Variation, Manhattan Plots, as well as the Procedures for Multiple Comparison. Numerous Worked Examples are provided for illustrations of concepts and real-life applications. Biostatistics for Human Genetic Epidemiology is an ideal reference for professionals and students in Medicine (particularly in Preventive Medicine and Public Health Medical Practices), as well as in Genetics, Epidemiology, and Biostatistics.
988 _aEBSPRINGER_BIOMEDLIFE_2019
650 7 _aTerapia genética
_2embne
_9150702
776 0 8 _iPrinted edition:
_z9783319937908
776 0 8 _iPrinted edition:
_z9783319937922
776 0 8 _iPrinted edition:
_z9783030067243
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-93791-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_aSI
_aSI
_b05/2019
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_feng
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