MARC Record from marc_columbia

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001 15114649
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006 m o d
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008 160923s2017 flua ob 001 0 eng d
035 $a(OCoLC)ocn959274567
035 $a(NNC)15114649
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020 $a9781315349770$q(electronic bk.)
020 $a1315349779$q(electronic bk.)
020 $a1498776809$q(electronic bk.)
020 $a9781498776806$q(electronic bk.)
020 $a1315366908$q(electronic bk.)
020 $a9781315366906$q(electronic bk.)
020 $z9781498776776$q(hardcover)
020 $z1498776779$q(print)
024 7 $a10.1201/9781315366906$2doi
035 $a(OCoLC)959274567$z(OCoLC)957655633$z(OCoLC)958128505$z(OCoLC)958865468$z(OCoLC)959948942$z(OCoLC)960086841$z(OCoLC)960275645$z(OCoLC)961312370$z(OCoLC)962127211$z(OCoLC)962434875$z(OCoLC)971359523$z(OCoLC)974682265$z(OCoLC)974736598$z(OCoLC)980506227$z(OCoLC)1006607823$z(OCoLC)1007377548$z(OCoLC)1066682545$z(OCoLC)1303482209
037 $a950166$bMIL
050 4 $aQA278$b.L49 2017eb
072 7 $aMAT$x003000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
072 7 $aMAT$x029020$2bisacsh
082 04 $a519.5/30285555$223
049 $aZCUA
100 1 $aLewis, Taylor H.,$eauthor.
245 10 $aComplex survey data analysis with SAS /$cTaylor H. Lewis.
264 1 $aBoca Raton :$bTaylor & Francis,$c[2017]
264 4 $c©2017
300 $a1 online resource (xiii, 326 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $a"A CRC title."
504 $aIncludes bibliographical references and index.
505 0 $a1. Features and examples of complex surveys -- 2. Drawing random samples using PROC SURVEYSELECT -- 3. Analyzing continous variables using PROC SURVEYMEANS -- 4. Analyzing categorical variables using PROC SURVEYFREQ -- 5. Fitting linear regression models using PROC SURVEYREG -- 6. Fitting logistic regression models using PROC SURVEYLOGISTIC -- 7. Survival analysis with complex survey data -- 8. Domain estimation -- 9. Replication techniques for variance estimation -- 10. Weight adjustment methods -- 11. Imputation methods.
520 $aComplex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the assumptions underlying most traditional statistical techniques, this book equips readers with the knowledge to confidently account for them during the estimation and inference process by employing the SURVEY family of SAS/STAT® procedures. The book offers comprehensive coverage of the most essential topics, including: Drawing random samples / Descriptive statistics for continuous and categorical variables / Fitting and interpreting linear and logistic regression models / Survival analysis / Domain estimation / Replication variance estimation methods / Weight adjustment and imputation methods for handling missing data. The easy-to-follow examples are drawn from real-world survey data sets spanning multiple disciplines, all of which can be downloaded for free along with syntax files from the author's website: http://mason.gmu.edu/~tlewis18/. While other books may touch on some of the same issues and nuances of complex survey data analysis, none features SAS exclusively and as exhaustively. Another unique aspect of this book is its abundance of handy workarounds for certain techniques not yet supported as of SAS Version 9.4, such as the ratio estimator for a total and the bootstrap for variance estimation.--$cProvided by Publisher.
588 0 $aPrint version record.
630 00 $aSAS (Computer file)
630 07 $aSAS (Computer file)$2fast$0(OCoLC)fst01364029
650 0 $aMultivariate analysis$xData processing.
650 0 $aRegression analysis$xData processing.
650 0 $aSampling (Statistics)
650 0 $aSurveys.
650 6 $aAnalyse multivariée$xInformatique.
650 6 $aAnalyse de régression$xInformatique.
650 6 $aÉchantillonnage (Statistique)
650 6 $aLevés.
650 7 $aland surveys.$2aat
650 7 $aMATHEMATICS$xApplied.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xMultivariate Analysis.$2bisacsh
650 7 $aMultivariate analysis$xData processing.$2fast$0(OCoLC)fst01029107
650 7 $aRegression analysis$xData processing.$2fast$0(OCoLC)fst01093274
650 7 $aSampling (Statistics)$2fast$0(OCoLC)fst01104676
650 7 $aSurveys.$2fast$0(OCoLC)fst01139635
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$aLewis, Taylor H.$tComplex survey data analysis with SAS.$dBoca Raton : Taylor & Francis, 2016$z9781498776776$z1498776779$w(DLC) 2016008468$w(OCoLC)946770283
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15114649$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS