passages: 3943
passages: document
passages: Analysis of prevention program effectiveness with clustered data using generalized estimating equations . Experimental studies of prevention programs often randomize clusters of individuals rather than individuals to treatment conditions . When the correlation among individuals within clusters is not accounted for in statistical analysis , the standard errors are biased , potentially resulting in misleading conclusions about the significance of treatment effects . This study demonstrates the generalized estimating equations ( GEE ) method , focusing specifically on the GEE-independent method , to control for within-cluster correlation in regression models with either continuous or binary outcomes . The GEE-independent method yields consistent and robust variance estimates . Data from project DARE , a youth substance abuse prevention program , are used for illustration .
entities: 3944
entities: Intervention_Other
entities: generalized estimating equations ( GEE )
entities: 3945
entities: Intervention_Other
entities: GEE-independent
entities: 3946
entities: Intervention_Other
entities: GEE-independent
entities: 3947
entities: Participant_Condition
entities: prevention program
entities: 3948
entities: Participant_Age
entities: youth
entities: 3949
entities: Participant_Condition
entities: substance abuse prevention program