01102nam0-22003731i-450-99000556419020331620110718105907.147000556419USA01000556419(ALEPH)000556419USA0100055641920110718d2003-------|0enac50------baengUS|||| |||||Six degreesthe science of a connected ageNew YorkNorton2003368 p.24 cmModelli matematiciReti di elaboratoriProgettazioneTeoria dei grafiFINew York511.5Teoria e costruzione dei grafici21WATTS,Duncan J.151600Norton & CompanyITSOL20120104990005564190203316DIP.TO SCIENZE ECONOMICHE - (SA)DS 500 511.5 WATDSE115 DISES500 511.5 WAT115 DISESBKDISES20121027USA01153320121027USA011614Six degrees1091362UNISAUSA2079003570nam 22005895 450 991043787780332120251116201604.01-4614-4854-910.1007/978-1-4614-4854-9(CKB)2670000000299659(EBL)1030502(OCoLC)821030962(SSID)ssj0000799996(PQKBManifestationID)11464619(PQKBTitleCode)TC0000799996(PQKBWorkID)10764704(PQKB)10143689(DE-He213)978-1-4614-4854-9(MiAaPQ)EBC1030502(MiAaPQ)EBC6312260(PPN)168301385(EXLCZ)99267000000029965920121026d2013 u| 0engur|n|---|||||txtccrSAS for Epidemiologists Applications and Methods /by Charles DiMaggio1st ed. 2013.New York, NY :Springer New York :Imprint: Springer,2013.1 online resource (265 p.)Description based upon print version of record.1-4614-4853-0 Includes bibliographical references and index.Introduction -- The SAS Environment -- Working with SAS Data -- Preliminary Procedures -- Manipulating Data -- Descriptive Statistics -- Histograms and Plots -- Categorical Data Analysis I and II -- Cleaning and Assessing Continuous Data using MEANS -- ANOVA -- Correlation -- Linear Regression -- Regression Diagnostics -- Solutions.This comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data.   .StatisticsStatistics, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/S0000XStatistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Statistics.Statistics, general.Statistics for Life Sciences, Medicine, Health Sciences.614.4072/7DiMaggio Charlesauthttp://id.loc.gov/vocabulary/relators/aut1059118MiAaPQMiAaPQMiAaPQBOOK9910437877803321SAS for Epidemiologists2504206UNINA