Differences Between Marginal Structural Models and Conventional Models in Their Exposure Effect Estimates A Systematic Review

作者：Suarez David^*; Borras Roger; Basagana Xavier

来源：Epidemiology, 2011, 22(4): 586-588.

DOI：10.1097/EDE.0b013e31821d0507

Background: Marginal structural models were developed to address time-varying confounding in nonrandomized exposure effect studies. It is unclear how estimates from marginal structural models and conventional models might differ in real settings.
Methods: We systematically reviewed the literature on marginal structural models since 2000.
Results: Data to compare marginal structural models and conventional models were obtained from 65 papers reporting 164 exposure-outcome associations. In 58 (40%), estimates differed by at least 20%, and in 18 (11%), the 2 techniques resulted in estimates with opposite interpretations. In 88 papers, marginal structural models were used to analyze real data; only 53 (60%) papers reported the use of stabilized inverse-probability weights and only 28 (32%) reported that they verified that the mean of the stabilized inverse-probability weights was close to 1.0.
Conclusions: We found important differences in results from marginal structural models and from conventional models in real studies. Furthermore, reporting of marginal structural models can be improved.

• 出版日期2011-7
• 单位河北医科大学