Effect modification by time-varying covariates.

@article{citeulike:2807809, 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.}, address = {Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.}, author = {Robins, J. M. and Hern\'{a}n, M. A. and Rotnitzky, A. }, citeulike-article-id = {2807809}, issn = {0002-9262}, journal = {American journal of epidemiology}, keywords = {msm, time-dependent}, month = {November}, number = {9}, posted-at = {2008-05-17 15:42:11}, priority = {2}, title = {Effect modification by time-varying covariates.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17875581}, volume = {166}, year = {2007} }

TY - JOUR ID - citeulike:2807809 L3 - citeulike-article-id:2807809 TI - Effect modification by time-varying covariates. JF - American journal of epidemiology VL - 166 IS - 9 AD - Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA. SN - 0002-9262 N2 - 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. KW - msm KW - time-dependent AU - Robins, JM AU - Hernán, MA AU - Rotnitzky, A PY - 2007/11/01/ UR - http://view.ncbi.nlm.nih.gov/pubmed/17875581 ER -