%0 Journal Article %1 Robins2000 %A Robins, J M %A Hernán, M A %A Brumback, B %D 2000 %J Epidemiology (Cambridge, Mass.) %K Anti-HIVAgents Anti-HIVAgents:therapeuticuse Causality ConfoundingFactors(Epidemiology) EpidemiologicMethods HIVInfections HIVInfections:drugtherapy HIVInfections:mortality Humans Models RiskFactors Statistical TimeFactors Zidovudine Zidovudine:therapeuticuse %N 5 %P 550-60 %T Marginal structural models and causal inference in epidemiology. %U http://www.ncbi.nlm.nih.gov/pubmed/10955408 %V 11 %X 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. %@ 1044-3983

@article{Robins2000, 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.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Robins, J M and Hernán, M A and Brumback, B}, biburl = {https://www.bibsonomy.org/bibtex/26dada0f77077c5b4c132abc4307ade46/jepcastel}, city = {Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.}, interhash = {96f5b2bff705d96e25914a1ecb0f44de}, intrahash = {6dada0f77077c5b4c132abc4307ade46}, isbn = {1044-3983}, issn = {1044-3983}, journal = {Epidemiology (Cambridge, Mass.)}, keywords = {Anti-HIVAgents Anti-HIVAgents:therapeuticuse Causality ConfoundingFactors(Epidemiology) EpidemiologicMethods HIVInfections HIVInfections:drugtherapy HIVInfections:mortality Humans Models RiskFactors Statistical TimeFactors Zidovudine Zidovudine:therapeuticuse}, month = {9}, note = {4777<m:linebreak></m:linebreak>LR: 20071114; GR: R01-AI32475/AI/NIAID NIH HHS/United States; JID: 9009644; 0 (Anti-HIV Agents); 30516-87-1 (Zidovudine); ppublish;<m:linebreak></m:linebreak>Causalitat; Dades longitudinals; Marginal structural models}, number = 5, pages = {550-60}, pmid = {10955408}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Marginal structural models and causal inference in epidemiology.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/10955408}, volume = 11, year = 2000 }