02730nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001200153072001600165072002300181072001500204100007700219245008700296250001800383264006900401300006300470336002600533337002600559338003600585347002400621490006300645505013800708520082400846650001401670650001801684650001801702650002201720650001901742650003501761650001901796650002401815650001801839650002101857650001901878650002601897710003401923773002601957776003601983776003602019776003602055830006302091856004602154978-3-031-41914-0DE-He21320251030110814.0cr nn 008mamaa230910s2024    sz |    s    |||| 0|eng d  a97830314191407 a10.1007/978-3-031-41914-02doi 4aQH323.5 7aPBT2bicssc 7aMED0900002bisacsh 7aPBT2thema1 aHirsch, Robert.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aAnalysis of Epidemiologic Data Using Rh[electronic resource] /cby Robert Hirsch.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 109 p. 76 illus., 29 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSynthesis Lectures on Mathematics & Statistics,x1938-17510 aIntroduction to R -- Measures of Disease Frequency -- Measures of Association -- 2x2 Tables -- Life Tables -- Control of Confounding.  aThis 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. 0aBiometry. 0aStatistics . 0aEpidemiology. 0aMedical sciences. 0aPublic health. 0aStatisticsxComputer programs.14aBiostatistics.24aApplied Statistics.24aEpidemiology.24aHealth Sciences.24aPublic Health.24aStatistical Software.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303141913308iPrinted edition:z978303141915708iPrinted edition:z9783031419164 0aSynthesis Lectures on Mathematics & Statistics,x1938-175140uhttps://doi.org/10.1007/978-3-031-41914-0