LEADER 03022nam  22005775  450 
001 9910300142503321
005 20230810183345.0
010   $a3-319-02532-5
024 7 $a10.1007/978-3-319-02532-2
035   $a(CKB)3710000000074256
035   $a(EBL)1592650
035   $a(SSID)ssj0001067589
035   $a(PQKBManifestationID)11581035
035   $a(PQKBTitleCode)TC0001067589
035   $a(PQKBWorkID)11091903
035   $a(PQKB)11458040
035   $a(MiAaPQ)EBC1592650
035   $a(DE-He213)978-3-319-02532-2
035   $a(PPN)17610626X
035   $a(EXLCZ)993710000000074256
100   $a20131114d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aIntroduction to Data Analysis and Graphical Presentation in Biostatistics with R $eStatistics in the Large /$fby Thomas W. MacFarland
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (172 p.)
225 1 $aSpringerBriefs in Statistics,$x2191-5458
300   $aDescription based upon print version of record.
311   $a3-319-02531-7 
320   $aIncludes bibliographical references.
327   $aIntroduction to Biostatistics and R -- Data exploration, descriptive statistics and measures of central tendency -- Student's t-Test for independent samples -- Student's t-Test for matched pairs -- One way ANOVA -- Two way ANOVA -- Correlation and linear regression -- Future Actions and Next Steps.
330   $aThrough real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R. Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.
410  0$aSpringerBriefs in Statistics,$x2191-5458
606   $aBiometry
606   $aMathematical statistics$xData processing
606   $aBiostatistics
606   $aStatistics and Computing
615  0$aBiometry.
615  0$aMathematical statistics$xData processing.
615 14$aBiostatistics.
615 24$aStatistics and Computing.
676   $a519.5
700   $aMacFarland$b Thomas W$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721661
906   $aBOOK
912   $a9910300142503321
996   $aIntroduction to data analysis and graphical presentation in biostatistics with R$91410198
997   $aUNINA