03057nam a22005895i 4500 978-3-031-41914-0 DE-He213 20251030110814.0 cr nn 008mamaa 230910s2024 sz | s |||| 0|eng d 9783031419140 978-3-031-41914-0 10.1007/978-3-031-41914-0 doi QH323.5 PBT bicssc MED090000 bisacsh PBT thema Hirsch, Robert. author. aut http://id.loc.gov/vocabulary/relators/aut 65980 Analysis of Epidemiologic Data Using R [electronic resource] / by Robert Hirsch. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 109 p. 76 illus., 29 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Synthesis Lectures on Mathematics & Statistics, 1938-1751 Introduction to R -- Measures of Disease Frequency -- Measures of Association -- 2x2 Tables -- Life Tables -- Control of Confounding. This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data. Effort is made to emphasize concepts rather than mathematics. Subjects range from description of the frequencies of disease to the analysis of associations between the occurrence of disease and exposure. Those analyses begin with simple associations and work up to complex relationships that involve the control of extraneous characteristics. Analyses rely on the statistical software R, which is freeware in wide use by professional epidemiologists and other scientists. Biometry. 65981 Statistics . 65982 Epidemiology. 65983 Medical sciences. 65984 Public health. 61312 Statistics Computer programs. 63845 Biostatistics. 65985 Applied Statistics. 65986 Epidemiology. 65983 Health Sciences. 65987 Public Health. 61312 Statistical Software. 65988 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031419133 Printed edition: 9783031419157 Printed edition: 9783031419164 Synthesis Lectures on Mathematics & Statistics, 1938-1751 https://doi.org/10.1007/978-3-031-41914-0 ZDB-2-SXSC 56277 56277