Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Entire DC Network
Assessing The Effectiveness Of Antiretroviral Adherence Interventions: Using Marginal Structural Models To Replicate The Findings Of Randomized Controlled Trials., Maya L. Petersen, Yue Wang, Mark J. Van Der Laan, David R. Bangsberg
Assessing The Effectiveness Of Antiretroviral Adherence Interventions: Using Marginal Structural Models To Replicate The Findings Of Randomized Controlled Trials., Maya L. Petersen, Yue Wang, Mark J. Van Der Laan, David R. Bangsberg
Maya Petersen
Randomized controlled trials of interventions to improve adherence to antiretroviral medications are not always feasible. Marginal Structural Models (MSM) are a statistical methodology that aims to replicate the findings of randomized controlled trials using observational data. Under the assumption of no unmeasured confounders, three MSM estimators are available to estimate the causal effect of an intervention. Two of these estimators, G-computation and Inverse Probability of Treatment Weighted, can be implemented using standard software. G-computation relies on fitting a multivariable regression of adherence on the intervention and confounders. Thus, it is related to the standard multivariable regression approach to estimating causal …