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024 7 $a10.1007/978-1-4614-4854-9
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035   $a(OCoLC)821030962
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100   $a20121026d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aSAS for Epidemiologists $eApplications and Methods /$fby Charles DiMaggio
205   $a1st ed. 2013.
210  1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013.
215   $a1 online resource (265 p.)
300   $aDescription based upon print version of record.
311 08$a1-4614-4853-0 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- 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.
330   $aThis 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.   .
606   $aStatistics
606   $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X
606   $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030
615  0$aStatistics.
615 14$aStatistics, general.
615 24$aStatistics for Life Sciences, Medicine, Health Sciences.
676   $a614.4072/7
700   $aDiMaggio$b Charles$4aut$4http://id.loc.gov/vocabulary/relators/aut$01059118
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437877803321
996   $aSAS for Epidemiologists$92504206
997   $aUNINA