%0 Journal Article %1 Robins2007 %A Robins, James M %A Hernán, Miguel A %A Rotnitzky, Andrea %D 2007 %J American journal of epidemiology %K AntiretroviralTherapy CohortStudies ConfoundingFactors(Epidemiology) HIVInfections HIVInfections:drugtherapy HIVInfections:epidemiology HIVInfections:immunology HighlyActive HighlyActive:methods Humans LogisticModels LongitudinalStudies MathematicalComputing Models ProportionalHazardsModels Statistical TimeFactors TreatmentOutcome UnitedStates UnitedStates:epidemiology %N 9 %P 994-1002; discussion 1003-4 %R 10.1093/aje/kwm231 %T Effect modification by time-varying covariates. %U http://www.ncbi.nlm.nih.gov/pubmed/17875581 %V 166 %X Marginal structural models (MSMs) allow estimation of effect modification by baseline covariates, but they are less useful for estimating effect modification by evolving time-varying covariates. Rather, structural nested models (SNMs) were specifically designed to estimate effect modification by time-varying covariates. In their paper, Petersen et al. (Am J Epidemiol 2007;166:985-993) describe history-adjusted MSMs as a generalized form of MSM and argue that history-adjusted MSMs allow a researcher to easily estimate effect modification by time-varying covariates. However, history-adjusted MSMs can result in logically incompatible parameter estimates and hence in contradictory substantive conclusions. Here the authors propose a more restrictive definition of history-adjusted MSMs than the one provided by Petersen et al. and compare the advantages and disadvantages of using history-adjusted MSMs, as opposed to SNMs, to examine effect modification by time-dependent covariates. %@ 0002-9262

@article{Robins2007, abstract = {Marginal structural models (MSMs) allow estimation of effect modification by baseline covariates, but they are less useful for estimating effect modification by evolving time-varying covariates. Rather, structural nested models (SNMs) were specifically designed to estimate effect modification by time-varying covariates. In their paper, Petersen et al. (Am J Epidemiol 2007;166:985-993) describe history-adjusted MSMs as a generalized form of MSM and argue that history-adjusted MSMs allow a researcher to easily estimate effect modification by time-varying covariates. However, history-adjusted MSMs can result in logically incompatible parameter estimates and hence in contradictory substantive conclusions. Here the authors propose a more restrictive definition of history-adjusted MSMs than the one provided by Petersen et al. and compare the advantages and disadvantages of using history-adjusted MSMs, as opposed to SNMs, to examine effect modification by time-dependent covariates.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Robins, James M and Hernán, Miguel A and Rotnitzky, Andrea}, biburl = {https://www.bibsonomy.org/bibtex/2bd112214c676ff15a523f0a9f3363c13/jepcastel}, city = {Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.}, doi = {10.1093/aje/kwm231}, interhash = {bee2ccabd85e9f90d27974a786cdec4c}, intrahash = {bd112214c676ff15a523f0a9f3363c13}, isbn = {0002-9262}, issn = {0002-9262}, journal = {American journal of epidemiology}, keywords = {AntiretroviralTherapy CohortStudies ConfoundingFactors(Epidemiology) HIVInfections HIVInfections:drugtherapy HIVInfections:epidemiology HIVInfections:immunology HighlyActive HighlyActive:methods Humans LogisticModels LongitudinalStudies MathematicalComputing Models ProportionalHazardsModels Statistical TimeFactors TreatmentOutcome UnitedStates UnitedStates:epidemiology}, month = {11}, note = {4950<m:linebreak></m:linebreak>GR: R01-HL080644/HL/NHLBI NIH HHS/United States; GR: R37-AI032475/AI/NIAID NIH HHS/United States; JID: 7910653; CON: Am J Epidemiol. 2007 Nov 1;166(9):985-93. PMID: 17875580; 2007/09/17 [aheadofprint]; ppublish;}, number = 9, pages = {994-1002; discussion 1003-4}, pmid = {17875581}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Effect modification by time-varying covariates.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/17875581}, volume = 166, year = 2007 }