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Multivariable analysis : a practical guide for clinicians PDF

219 Pages·2006·4.05 MB·English
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Multivariable Analysis APracticalGuideforClinicians Whydoyouneedthisbook? Multivariableanalysisisconfusing!Whetheryouareperformingyourfirstresearchproject orattemptingtointerprettheoutputfromamultivariablemodel,youhaveundoubtedly foundthistobetrue.Basicbiostatisticsbooksareoflittletonohelptoyou,sincetheir coverageoftenstopsshortofmultivariableanalysis.However,existingmultivariableanalysis booksaretoodensewithmathematicalformulasandderivationsandarenotdesignedto answeryourmostbasicquestions.Isthereabookthatstepsasidefromthemathandsimply explainshowtounderstand,perform,andinterpretmultivariableanalyses? Yes.MultivariableAnalysis:APracticalGuideforCliniciansispreciselythereferencethat willleadyourway.Infact,Dr.MitchellKatzhasaskedandansweredallofyourquestionsfor you! WhyshouldIdomultivariableanalysis? HowdoIchoosewhichtypeofmultivariabletouse? HowmanysubjectsdoIneedtodomultivariableanalysis? WhatifIhaverepeatedobservationsofthesamepersons? Answersanddetailedexplanationstothesequestionsandmorearefoundinthisbook.Also, itisloadedwithusefultips,summarycharts,figures,andreferences. Ifyouareamedicalstudent,resident,orclinician,MultivariableAnalysis:APractical GuideforClinicianswillproveanindispensableguidethroughtheconfusingterrainof statisticalanalysis. Thisneweditionhasbeenfullyrevisedtobuildontheenormoussuccessofits predecessor.Newfeaturesincludeanextensivereviewofanalysisofclustereddata,including theuseofgeneralizedestimatingequationsandmixed-effectsmodels,anewchapteron propensityscores,andmoredetailonPoissonregressionandanalysisofvariance. Praiseforfirstedition “Thisisthefirstnonmathematicalbookonmultivariableanalysisaddressedtoclinicians.Its range,organization,brevity,andclaritymakeitusefulasareference,atext,andaguidefor self-study.Thisbookis‘apracticalguideforclinicians.’” LeonardE.Braitman,Ph.D.,AnnalsofInternalMedicine MitchellH.KatzisClinicalProfessorofMedicine,Epidemiology,andBiostatisticsatthe UniversityofCalifornia,SanFrancisco;heisalsoDirectoroftheSanFranciscoDepartment ofPublicHealth. Multivariable Analysis A Practical Guide for Clinicians Second Edition Mitchell H. Katz DepartmentofMedicine,Epidemiology,and Biostatistics,UniversityofCalifornia,USA cambridge university press Cambridge,NewYork,Melbourne,Madrid,CapeTown,Singapore,Sa˜oPaulo CambridgeUniversityPress TheEdinburghBuilding,CambridgeCB22RU,UK PublishedintheUnitedStatesofAmericabyCambridgeUniversityPress,NewYork www.cambridge.org Informationonthistitle:www.cambridge.org/9780521840514 (cid:1)C M.H.Katz,1999,2006 Thisbookisincopyright.Subjecttostatutoryexception andtotheprovisionsofrelevantcollectivelicensingagreements, noreproductionofanypartmaytakeplacewithout thewrittenpermissionofCambridgeUniversityPress. Firstpublished1999 Secondeditionpublished2006 PrintedintheUnitedKingdomattheUniversityPress,Cambridge AcatalogrecordforthisbookisavailablefromtheBritishLibrary LibraryofCongressCataloginginPublicationdata ISBN-13 978-0-521-84051-4hardback ISBN-10 0-521-84051-1hardback ISBN-13 978-0-521-54985-1paperback ISBN-10 0-521-54985-Xpaperback CambridgeUniversityPresshasnoresponsibilityforthepersistenceoraccuracyofURLsforexternalor third-partyinternetwebsitesreferredtointhisbook,anddoesnotguaranteethatanycontentonsuch websitesis,orwillremain,accurateorappropriate. Everyefforthasbeenmadeinpreparingthisbooktoprovideaccurateandup-to-dateinformation whichisinaccordwithacceptedstandardsandpracticeatthetimeofpublication.Althoughcase historiesaredrawnfromactualcases,everyefforthasbeenmadetodisguisetheidentitiesofthe individualsinvolved.Nevertheless,theauthors,editors,andpublisherscanmakenowarrantiesthatthe informationcontainedhereinistotallyfreefromerror,notleastbecauseclinicalstandardsare constantlychangingthroughresearchandregulation.Theauthors,editors,andpublisherstherefore disclaimallliabilityfordirectorconsequentialdamagesresultingfromtheuseofmaterialcontainedin thisbook.Readersarestronglyadvisedtopaycarefulattentiontoinformationprovidedbythe manufacturerofanydrugsorequipmentthattheyplantouse. To my parents, for their unwavering support Contents Preface page xiii 1 Introduction 1 1.1 WhyshouldIdomultivariableanalysis? 1 1.2 Whatareconfoundersandhowdoesmultivariableanalysis helpmetodealwiththem? 6 1.3 Whataresuppressersandhowdoesmultivariableanalysishelp metodealwiththem? 9 1.4 Whatareinteractionsandhowdoesmultivariableanalysishelp metodealwiththem? 11 2 Common uses of multivariable models 14 2.1 Whatarethemostcommonusesofmultivariablemodelsin clinicalresearch? 14 2.2 HowdoIchoosewhattypeofmultivariableanalysistouse? 23 3 Outcome variables in multivariable analysis 24 3.1 Howdoesthenatureofmyoutcomevariableinfluencemy choiceofwhichtypeofmultivariableanalysistodo? 24 3.2 WhattypeofmultivariableanalysisshouldIusewithan intervaloutcome? 24 3.3 Whatarethedifferenttypesofanalysisofvarianceandwhen aretheyused? 25 3.4 WhatshouldIdoifmyoutcomevariableisordinalornominal? 27 3.5 WhattypeofmultivariableanalysisshouldIusewitha dichotomousoutcome? 28 vii viii Contents 3.6 WhattypeofmultivariableanalysisshouldIusewitha time-to-outcomevariable? 28 3.7 WhattypeofmultivariableanalysisshouldIusewitharare outcomeoracount? 32 4 Type of independent variables in multivariable analysis 35 4.1 WhattypeofindependentvariablescanIusewith multivariableanalysis? 35 4.2 WhatshouldIdowithmyordinalandnominalindependent variables? 35 5 Assumptions of multiple linear regression, multiple logistic regression, and proportional hazards analysis 38 5.1 Whataretheassumptionsofmultiplelinearregression, multiplelogisticregression,andproportionalhazards analysis? 38 5.2 Whatisbeingmodeledinmultiplelinearregression,multiple logisticregression,andproportionalhazardsanalysis? 38 5.3 Whatistherelationshipofmultipleindependentvariablesto outcomeinmultiplelinearregression,multiplelogistic regression,andproportionalhazardsanalysis? 42 5.4 Whatistherelationshipofaninterval-independentvariableto theoutcomeinmultiplelinearregression,multiplelogistic regression,andproportionalhazardsanalysis? 43 5.5 Whatifmyinterval-independentvariabledoesnothavea linearrelationshipwithmyoutcome? 46 5.6 Assumingthatmyinterval-independentvariablefitsalinear assumption,isthereanyreasontogroupitintointerval categoriesorcreatemultipledichotomousvariables? 51 5.7 Whataretheassumptionsaboutthedistributionofthe outcomeandthevariance? 52 5.8 WhatshouldIdoifIfindsignificantviolationsofthe assumptionsofnormaldistributionandequalvarianceinmy multiplelinearregressionanalysis? 55 5.9 Whataretheassumptionsofcensoring? 56 5.10 Howlikelyisitthatthecensoringassumptionisvalid inmystudy? 59 ix Contents 5.11 HowcanItestthevalidityofthecensoringassumption formydata? 64 6 Relationship of independent variables to one another 68 6.1 Doesitmatterifmyindependentvariablesarerelated toeachother? 68 6.2 HowdoIassesswhethermyvariablesaremulticollinear? 69 6.3 WhatshouldIdowithmulticollinearvariables? 71 7 Setting up a multivariable analysis 73 7.1 WhatindependentvariablesshouldIincludeinmy multivariablemodel? 73 7.2 HowdoIdecidewhatconfounderstoincludeinmymodel? 73 7.3 WhatindependentvariablesshouldIexcludefrommy multivariablemodel? 74 7.4 HowmanysubjectsdoIneedtodomultivariableanalysis? 77 7.5 WhatifIhavetoomanyindependentvariablesgivenmy samplesize? 81 7.6 WhatshouldIdoaboutmissingdataonmyindependent variables? 87 7.7 WhatshouldIdoaboutmissingdataonmyoutcomevariable? 94 8 Performing the analysis 96 8.1 WhatnumbersshouldIassignfordichotomousorordinal variablesinmyanalysis? 96 8.2 DoesitmatterwhatIchooseasmyreferencecategoryfor multipledichotomous(“dummied”)variables? 97 8.3 HowdoIenterinteractiontermsintomyanalysis? 98 8.4 HowdoIentertimeintomyproportionalhazardsorother survivalanalysis? 101 8.5 Whataboutsubjectswhoexperiencetheiroutcomeontheir startdate? 106 8.6 Whataboutsubjectswhohaveasurvivaltimeshorterthan physiologicallypossible? 107 8.7 Whatarevariableselectiontechniques? 109 8.8 WhatvalueshouldIspecifyfortoleranceinmylogistic regressionorproportionalhazardsmodel? 114 x Contents 8.9 Howmanyiterations(attemptstosolve)shouldIspecifyfor mylogisticregressionorproportionalhazardsmodel? 114 8.10 WhatvalueshouldIspecifyfortheconvergencecriteriafor mylogisticregressionorproportionalhazardsmodel? 115 8.11 Mymodelwon’tconverge.WhatshouldIdo? 115 9 Interpreting the analysis 117 9.1 Whatinformationwilltheprintoutfrommyanalysisprovide? 117 9.2 HowdoIassesshowwellmymodelaccountsfortheoutcome? 117 9.3 Whatdothecoefficientstellmeabouttherelationship betweeneachvariableandtheoutcome? 124 9.4 HowdoIgetoddsratiosandrelativehazardsfromthe multivariableanalysis?Whatdotheymean? 126 9.5 HowdoIinterprettheoddsratioandrelativehazardwhenthe independentvariableisinterval? 129 9.6 HowdoIcomputetheconfidenceintervalsfortheoddsratios andrelativehazards? 130 9.7 WhatarestandardizedcoefficientsandshouldIusethem? 131 9.8 HowdoItestthestatisticalsignificanceofmycoefficients? 131 9.9 HowdoIinterprettheresultsofinteractionterms? 134 9.10 DoIhavetoadjustmymultivariableregressioncoefficients formultiplecomparisons? 134 10 Checking the assumptions of the analysis 137 10.1 HowdoIknowifmydatafittheassumptionsofmy multivariablemodel? 137 10.2 HowdoIassessthelinearity,normaldistribution,andequal varianceassumptionsofmultiplelinearregression? 138 10.3 HowdoIassessthelinearityassumptionofmultiplelogistic regressionandproportionalhazardsanalysis? 139 10.4 WhatareoutliersandhowdoIdetecttheminmymultiple linearregressionmodel? 139 10.5 HowdoIdetectoutliersinmymultiplelogisticregression model? 141 10.6 Whataboutanalysisofresidualswithproportionalhazards analysis? 142 10.7 WhatshouldIdowhenIdetectoutliers? 142

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