如何用SAS软件正确分析生物医学科研资料

2362009643ChinMedBiotechnol,June2009,Vol.4,No.3DOI:10.3969/cmba.j.issn.1673-713X.2009.03.016··SASSASSASstatisticalanalysissystemSASSAS26CHD214122100mg120mg29g32224hR-RSDNNSDNN154.13122.35139.05126.73157.36122.87137.16136.47130.39156.43132.71161.57137.68141.26100.3488.5797.7998.67114.37130.48124.9584.7296.81101.62124.3292.15SAS2624hR-Rtt′WilcoxonSASDATAa1;INPUTg$n;doi=1ton;inputx@@;output;end;cards;wenxin14154.13122.35139.05126.73157.36122.87137.16136.47130.39156.43132.71161.57137.68141.26duizhao12100.3488.5797.7998.67114.37130.48124.9584.7296.81101.62124.3292.15;run;odshtml;PROCUNIVARIATENORMAL;VARx;CLASSg;RUN;PROCTTESTCOCHRAN;VARx;CLASSg;gx24hR-Runivariate2ttesttt′[e-mail]2009643ChinMedBiotechnol,June2009,Vol.4,No.3237RUN;PROCNPAR1WAYWILCOXON;VARx;CLASSg;RUN;odshtmlclose;npar1wayWilcoxonWilcoxonWilcoxonSASxg=duizhaoN1212104.5658331254.7915.2095816231.3313720.6082216–0.9803459133752.8072544.6450914.54546014.39062801PShapiro-wilkW0.901255PrW0.1646Kolmogorov-smirnovD0.243455PrD0.0476Cramer-vonmisesW-Sq0.102866PrW-Sq0.0928Anderson-darlingA-Sq0.560149PrA-Sq0.1193W=0.901255P=0.1646xg=wenxinN1414139.7257141956.1612.9796603168.471580.41498097–1.0128671275515.9842190.130549.289385513.46896012PShapiro-wilkW0.919614PrW0.2171Kolmogorov-smirnovD0.167238PrD0.1500Cramer-vonmisesW-Sq0.075976PrW-Sq0.2224Anderson-darlingA-Sq0.460851PrA-Sq0.2271W=0.919614P=0.2171T-testsVariableMethodVariancesDFtvaluePr|t|xPooledEqual24–6.360.0001xSatterthwaiteUnequal21.8–6.280.0001xCochranUnequal––6.280.0001tSatterthwaiteCochrant′EqualityofvariancesVariableMethodNumDFDenDFFvaluePrFxFoldedF11131.370.57992F=1.37P=0.57992TheNPAR1WAYprocedureWilcoxonscores(ranksums)forvariablexclassifiedbyvariableggNSumofscoresExpectedunderH0StddevunderH0Meanscorewenxin14265.0189.019.44222218.928571duizhao1286.0162.019.4422227.166667Wilcoxontwo-sampletestStatistic86.0000NormalapproximationZ–3.8833One-sidedPrZ0.0001Two-sidedPr|Z|0.0001tapproximationOne-sidedPrZ0.0003Two-sidedPr|Z|0.0007Zincludesacontinuitycorrectionof0.5Kruskal-WallistestChi-square15.2804DF1PrChi-square0.00012WilcoxonKruskal-WallisWilcoxonKruskal-WallisSAS2Zχ2ZZ21χ2Kruskal-Wallisχ2WilcoxonZ–3.88332=15.080015.2804SASWilcoxonZZ3.909018–3.9090182=15.2804Kruskal-Wallisχ2tt=–6.36P2382009643ChinMedBiotechnol,June2009,Vol.4,No.30.0001SDNNSDNN139.725714SDNN104.56583324hR-RWilcoxon2SDNNWilcoxonZ=–3.8833P=0.00012Cochrant′PASPCM22000220041233PAS15PCM1821222mmHg1mmHg=0.133kPaPASPCMPASPCM1193.0124.61162.6119.32211.2128.52197.3126.93165.3105.53160.4156.14199.6118.64215.5145.05150.1121.45118.3126.16202.3120.36183.2127.67178.0144.87224.3130.28157.0132.38194.7109.09189.9150.69207.3177.310197.5135.610257.4133.311180.8122.011140.0158.012166.1136.012117.4148.813140.6123.813255.3140.314164.9127.614275.1159.915190.2130.115178.2185.4–––16199.7208.5–––17215.6177.4–––18120.2167.3SAS[1]SASDATAa2;DOi=1to18;DOFENZU=1TO2;INPUTY1Y2@@;OUTPUT;END;END;CARDS;193.0124.6162.6119.3211.2128.5197.3126.9165.3105.5160.4156.1199.6118.6215.5145.0150.1121.4118.3126.1202.3120.3183.2127.6178.0144.8224.3130.2157.0132.3194.7109.0189.9150.6207.3177.3197.5135.6257.4133.3180.8122.0140.0158.0166.1136.0117.4148.8140.6123.8255.3140.3164.9127.6275.1159.9190.2130.1178.2185.4..199.7208.5..215.6177.4..120.2167.3;odshtml;PROCGLM;CLASSFENZU;MODELY1-Y2=FENZU/SS3;MANOVAH=FENZU;MEANSFENZU;RUN;odshtmlclose;FENZUPASPCMY1Y2SASDependentvariableY1SourceDFTypeIIISSMeansquareFvaluePrFFENZU1997.0123737997.01237370.690.4122Y12PASPCMF=0.69P=0.4122DependentvariableY2SourceDFTypeIIISSMeansquareFvaluePrFFENZU13848.0032733848.0032738.910.0055Y22PASPCMF=8.91P=0.0055MANOVAtestcriteriaandexactFstatisticsforthehypothesisofnooverallFENZUeffectH=TypeIIISSCPmatrixforFENZUE=ErrorSSCPmatrixS=1,M=0,N=14StatisticValueFvalueNumDFDenDFPrFWilks’lambda0.766073284.582300.0184Pillai’strace0.233926724.582300.0184Hotelling-lawleytrace0.305358154.582300.0184Roy’sgreatestroot0.305358154.582300.01842009643ChinMedBiotechnol,June2009,Vol.4,No.32392PASPCM2P=0.0184TheGLMprocedureY1Y2LevelofFENZUNMeanStdDevMeanStdDev115179.10000020.9375943128.11333311.0212047218190.13888947.6478891149.80000026.22390022PASPCM222PASPCMPCMPAS[1]HuLP.ThepracticalcourseinthestatisticalanalysisforwindowsSAS,version6.12&8.0.Beijing:PressofMilitaryMedicalSciences,2001:261-262.(inChinese).WindowsSAS6.12&8.0.:,2001:261-262.··H1N1H1N1200982009515H1N1—2008://