03768nam a22005295i 4500 978-1-4939-2134-8 DE-He213 20210707132349.0 cr nn 008mamaa 150205s2015 xxu| s |||| 0|eng d 9781493921348 978-1-4939-2134-8 10.1007/978-1-4939-2134-8 doi QA276-280 PBT bicssc MED090000 bisacsh PBT thema MBNS thema 519.5 23 Wassertheil-Smoller, Sylvia. author. aut http://id.loc.gov/vocabulary/relators/aut Biostatistics and Epidemiology [electronic resource] : A Primer for Health and Biomedical Professionals / by Sylvia Wassertheil-Smoller, Jordan Smoller. 4th ed. 2015. New York, NY : Springer New York : Imprint: Springer, 2015. XX, 260 p. 37 illus., 11 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda The Scientific Method -- Probability -- Statistics -- Epidemiology.-Screening -- Clinical Trials -- Quality of Life -- Genetic Epidemiology -- Risk Prediction and Reclassification -- Research Ethics and Statistics -- Postscript -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Appendix F -- References -- Suggested Readings -- Index. Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from across specialty areas in the biomedical community. Not only does this textbook teach foundations of epidemiological design and statistical methods, but it also includes topics applicable to new areas of research. Areas covered in the fourth edition include a new chapter on risk prediction, risk reclassification and evaluation of biomarkers, new material on propensity analyses, and a vastly expanded chapter on genetic epidemiology, which  is particularly relevant to those who wish to understand the epidemiological and statistical aspects of scientific articles in this rapidly advancing field. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it."a philosophical explanation of the logic of science, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text. . Statistics . Laboratory medicine. Epidemiology. Public health. Statistics for Life Sciences, Medicine, Health Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/S17030 Laboratory Medicine. https://scigraph.springernature.com/ontologies/product-market-codes/B15007 Epidemiology. https://scigraph.springernature.com/ontologies/product-market-codes/H63000 Public Health. https://scigraph.springernature.com/ontologies/product-market-codes/H27002 Smoller, Jordan. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) Springer Nature eBook Printed edition: 9781493921331 Printed edition: 9781493921355 https://doi.org/10.1007/978-1-4939-2134-8 ZDB-2-SMA ZDB-2-SXMS Mathematics and Statistics (SpringerNature-11649) Mathematics and Statistics (R0) (SpringerNature-43713)