Marginal structural models and causal inference in epidemiology
Robins, JM; Hernán, MA; Brumback, B
| HERO ID | 11319809 |
|---|---|
| Material Type | Editorial |
| In Press | No |
| Year | 2000 |
| Title | Marginal structural models and causal inference in epidemiology |
| Authors | Robins, JM; Hernán, MA; Brumback, B |
| Journal | Epidemiology |
| Volume | 11 |
| Issue | 5 |
| Page Numbers | 550-560 |
| Abstract | In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces marginal structural models, a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators. |
| Doi | 10.1097/00001648-200009000-00011 |
| Pmid | 10955408 |
| Wosid | WOS:000088854500011 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Language Text | English |
| Keyword | causality; counterfactuals; epidemiologic methods; longitudinal data; structural models; confounding; intermediate variables |