AppliedMixedModelsinMedicine(StatisticsinPractice)

Amixedmodelallowstheincorporationofbothfixedandrandomvariableswithinastatisticalanalysis.Thisenablesefficientinferencesandmoreinformationtobegainedfromthedata.Theapplicationofmixedmodelsisanincreasinglypopularwayofanalysingmedicaldata,particularlyinthepharmaceuticalindustry.Therehavebeenmanyrecentadvancesinmixedmodelling,particularlyregardingthesoftwareandapplications.Thisneweditionofagroundbreakingtextdiscussesthelatestdevelopments,fromupdatedSAStechniquestotheincreasinglywiderangeofapplications.Presentsanoverviewofthetheoryandapplicationsofmixedmodelsinmedicalresearch,includingthelatestdevelopmentsandnewsectionsonbioequivalence,clusterrandomisedtrialsandmissingdata.Easilyaccessibletopractitionersinanyareawheremixedmodelsareused,includingmedicalstatisticiansandeconomists.Includesnumerousexamplesusingrealdatafrommedicalandhealthresearch,andepidemiology,illustratedwithSAScodeandoutput.FeaturesnewversionofSAS,includingtheprocedurePROCGLIMMIXandanintroductiontootheravailablesoftware.Supportedbyawebsitefeaturingcomputercode,datasets,andfurthermaterial,availableat:http://www.chs.med.ed.ac.uk/phs/mixed/.Thismuch-anticipatedsecondeditionisidealforappliedstatisticiansworkinginmedicalresearchandthepharmaceuticalindustry,aswellasteachersandstudentsofstatisticscoursesinmixedmodels.Thetextwillalsobeofgreatvaluetoabroadrangeofscientists,particularlythoseworkingthemedicalandpharmaceuticalareas.