Propensity Score Methods Using SAS - BASUG

Propensity Score Methods Using Propensity Score Methods Using SASSAS R. Scott Leslie, MPHR. Scott Leslie, MPHMedImpact Healthcare Systems, Healthcare Systems, Diego, CASan Diego, ResearchObservational ResearchKey strength: estimate effect of exposures or Key strength: estimate effect of exposures or treatment in treatment in real worldreal world conditionsconditionsAdvantagesAdvantages Data readily available, inexpensiveData readily available, inexpensive Generate quick resultsGenerate quick results Results more generalizable than controlled trialsResults more generalizable than controlled trials Offer solution to limitations of RCTO ffer solution to limitations of RCTE thicsEthicsFeasibilityFeasibility--Costs /resourcesCosts/resourcesTimeTime--resul ts lagresults lagHawthorne effectHawthorne effectExternal validityExternal validity--patient mixpatient mixSmall samplesSmall samplesObservational ResearchObservational ResearchKey limitation: comparison groups not randomizedKey limitation: comparison groups not randomizedConsequence.

Propensity scores created using PROC LOGISTIC or PROC GENMOD – The propensity score is the conditional probability of each patient receiving a particular treatment based on pre-treatment ... If comparison groups are too different >>>difficult to balance groups P score is more robust approach – Address selection bias and offers precision.

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  Using, Comparison, Methods, Corps, Score, Logistics, Propensity, Proc logistic, Propensity score methods using

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