Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection

Standard marginal structural models (MSMs) are commonly applied to estimate causal effects in the presence of time-dependent confounding; these may be extended to history-adjusted MSMs to estimate effects conditional on time-updated covariates, and dynamic MSMs to estimate e¤ects of pre-speci…ed dyn...

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Main Author: Ewings, F. M.
Published: University College London (University of London) 2012
Subjects:
616
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625804
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6258042015-12-03T03:27:57ZPractical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infectionEwings, F. M.2012Standard marginal structural models (MSMs) are commonly applied to estimate causal effects in the presence of time-dependent confounding; these may be extended to history-adjusted MSMs to estimate effects conditional on time-updated covariates, and dynamic MSMs to estimate e¤ects of pre-speci…ed dynamic regimes (Cain et al., 2010). We address methods to assess the optimal time for treatment initiation with respect to CD4 count in HIV-infected persons, and apply these to CASCADE cohort data. We advocate the application of all three types of MSM to address such causal questions and investigate gaps in the literature concerning their application. Of importance is the construction of suitable inverse probability weights. We have structured this process as four key decisions, de…fining a range of strategies; all demonstrated a bene…ficial effect of ART in CASCADE. We found a trend towards greater treatment bene…fit at lower CD4 across a range of models. Via large simulated randomised trials based on CASCADE data, longer grace periods (permitted delay in treatment initiation) and in particular less-frequently observed CD4 indicated higher optimal regimes (earlier treatment initiation at higher CD4), although similar AIDS-free survival rates may be achieved at these higher optimal regimes. In realistically-sized observational simulations, the optimal regime estimates lacked precision, mainly due to broadly constant AIDS-free survival rates at higher CD4. Optimal regimes estimated from dynamic MSMs should be interpreted with regard to the shape of the outcome-by-regime curve and the precision. In our clinical setting, we found that allowing a 3-month grace period may increase precision with little bias under the interpretation of no grace period; under longer grace periods, the bias outweighed the efficiency gain. In our CASCADE population, immediate treatment was preferable to delay, although estimation was limited by relatively short follow-up. Comparison across the MSM approaches offers additional insights into the methodology and clinical results.616University College London (University of London)http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625804http://discovery.ucl.ac.uk/1346448/Electronic Thesis or Dissertation
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sources NDLTD
topic 616
spellingShingle 616
Ewings, F. M.
Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection
description Standard marginal structural models (MSMs) are commonly applied to estimate causal effects in the presence of time-dependent confounding; these may be extended to history-adjusted MSMs to estimate effects conditional on time-updated covariates, and dynamic MSMs to estimate e¤ects of pre-speci…ed dynamic regimes (Cain et al., 2010). We address methods to assess the optimal time for treatment initiation with respect to CD4 count in HIV-infected persons, and apply these to CASCADE cohort data. We advocate the application of all three types of MSM to address such causal questions and investigate gaps in the literature concerning their application. Of importance is the construction of suitable inverse probability weights. We have structured this process as four key decisions, de…fining a range of strategies; all demonstrated a bene…ficial effect of ART in CASCADE. We found a trend towards greater treatment bene…fit at lower CD4 across a range of models. Via large simulated randomised trials based on CASCADE data, longer grace periods (permitted delay in treatment initiation) and in particular less-frequently observed CD4 indicated higher optimal regimes (earlier treatment initiation at higher CD4), although similar AIDS-free survival rates may be achieved at these higher optimal regimes. In realistically-sized observational simulations, the optimal regime estimates lacked precision, mainly due to broadly constant AIDS-free survival rates at higher CD4. Optimal regimes estimated from dynamic MSMs should be interpreted with regard to the shape of the outcome-by-regime curve and the precision. In our clinical setting, we found that allowing a 3-month grace period may increase precision with little bias under the interpretation of no grace period; under longer grace periods, the bias outweighed the efficiency gain. In our CASCADE population, immediate treatment was preferable to delay, although estimation was limited by relatively short follow-up. Comparison across the MSM approaches offers additional insights into the methodology and clinical results.
author Ewings, F. M.
author_facet Ewings, F. M.
author_sort Ewings, F. M.
title Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection
title_short Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection
title_full Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection
title_fullStr Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection
title_full_unstemmed Practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in HIV infection
title_sort practical and theoretical considerations of the application of marginal structural models to estimate causal effects of treatment in hiv infection
publisher University College London (University of London)
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625804
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