LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "marginal structural" as a keyword



Optimal probability weights for estimating causal effects of time-varying treatments with marginal structural Cox models.

Sign Up to like & get
recommendations! Published in 2019 at "Statistics in medicine"

DOI: 10.1002/sim.8080

Abstract: Marginal structural Cox models have been used to estimate the causal effect of a time-varying treatment on a survival outcome in the presence of time-dependent confounders. These methods rely on the positivity assumption, which states… read more here.

Keywords: cox models; time varying; time; marginal structural ... See more keywords
Photo by lucasgwendt from unsplash

Estimating controlled direct effects through marginal structural models

Sign Up to like & get
recommendations! Published in 2020 at "Political Science Research and Methods"

DOI: 10.1017/psrm.2020.3

Abstract: Abstract When working with panel data, many researchers wish to estimate the direct effects of time-varying factors on future outcomes. However, when a baseline treatment affects both the confounders of further stages of the treatment… read more here.

Keywords: estimating controlled; controlled direct; direct effects; structural models ... See more keywords

An introduction to inverse probability weighting and marginal structural models: The case of environmental tobacco exposure and attention deficit/hyperactivity disorder behaviors.

Sign Up to like & get
recommendations! Published in 2024 at "Developmental psychology"

DOI: 10.1037/dev0001803

Abstract: Developmental scientists routinely examine how a focal predictor relates to some aspect of children's development. Although covariate adjustment is typically used to test hypotheses, propensity score-based methods, including inverse probability of treatment weighting (IPTW) and… read more here.

Keywords: structural models; inverse probability; marginal structural; attention deficit ... See more keywords

A simulation study on implementing marginal structural models in an observational study with switching medication based on a biomarker

Sign Up to like & get
recommendations! Published in 2018 at "Journal of Biopharmaceutical Statistics"

DOI: 10.1080/10543406.2017.1402783

Abstract: ABSTRACT Assessing treatment effectiveness in longitudinal data can be complex when treatments are not randomly assigned and patients are allowed to switch treatment to other or no treatment, often in a manner that is driven… read more here.

Keywords: based biomarker; treatment; study; marginal structural ... See more keywords
Photo from wikipedia

Dealing with Treatment-confounder Feedback and Sparse Follow-up in Longitudinal studies - Application of a Marginal Structural Model in a Multiple Sclerosis Cohort.

Sign Up to like & get
recommendations! Published in 2020 at "American journal of epidemiology"

DOI: 10.1093/aje/kwaa243

Abstract: The beta-interferons are widely prescribed platform therapies for patients with multiple sclerosis (MS). We accessed a cohort of patients with relapsing onset MS from British Columbia, Canada (1995-2013) to examine the potential survival advantage associated… read more here.

Keywords: structural model; treatment confounder; marginal structural; confounder feedback ... See more keywords

Marginal structural models for life-course theories and social epidemiology: Definitions, sources of bias, and simulated illustrations.

Sign Up to like & get
recommendations! Published in 2021 at "American journal of epidemiology"

DOI: 10.1093/aje/kwab253

Abstract: Social epidemiology aims to identify social structural risk factors thus informing targets and timing of interventions. Ascertaining which interventions will be most effective and when they should be implemented is challenging because social conditions vary… read more here.

Keywords: life course; marginal structural; epidemiology; social epidemiology ... See more keywords

Instrumental variable estimation of the marginal structural Cox model for time-varying treatments.

Sign Up to like & get
recommendations! Published in 2023 at "Biometrika"

DOI: 10.1093/biomet/asab062

Abstract: Robins (1998) introduced marginal structural models, a general class of counterfactual models for the joint effects of time-varying treatments in complex longitudinal studies subject to time-varying confounding. Robins (1998) established the identification of marginal structural… read more here.

Keywords: time; structural cox; instrumental variable; model ... See more keywords

Doubly Robust Estimation under Possibly Misspecified Marginal Structural Cox Model

Sign Up to like & get
recommendations! Published in 2024 at "Biometrika"

DOI: 10.1093/biomet/asae065

Abstract: In this paper we consider the marginal structural Cox model, which has been widely used for analyzing observational studies with survival outcomes. The standard inverse probability weighting method under the model hinges upon a propensity… read more here.

Keywords: treatment; marginal structural; cox model; model ... See more keywords

Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models.

Sign Up to like & get
recommendations! Published in 2022 at "Biostatistics"

DOI: 10.1093/biostatistics/kxac007

Abstract: Considerable statistical work done on dynamic treatment regimes (DTRs) is in the frequentist paradigm, but Bayesian methods may have much to offer in this setting as they allow for the appropriate representation and propagation of… read more here.

Keywords: treatment regimes; dynamic treatment; bayesian inference; structural models ... See more keywords

Marginal structural models for multilevel clustered data.

Sign Up to like & get
recommendations! Published in 2022 at "Biostatistics"

DOI: 10.1093/biostatistics/kxac027

Abstract: Marginal structural models (MSMs), which adopt inverse probability treatment weighting in the estimating equations, are powerful tools to estimate the causal effects of time-varying exposures in the presence of time-dependent confounders. Motivated by the Conservation… read more here.

Keywords: models multilevel; time; clustered data; multilevel clustered ... See more keywords

Glucocorticoid exposure and the risk of serious infections in rheumatoid arthritis-a marginal structural model application.

Sign Up to like & get
recommendations! Published in 2023 at "Rheumatology"

DOI: 10.1093/rheumatology/kead083

Abstract: OBJECTIVE Observational studies have reported an increased risk of infections associated with glucocorticoids in rheumatoid arthritis (RA), not supported by evidence from randomized controlled trials. Inappropriately accommodating time-varying exposure and confounding in observational studies might… read more here.

Keywords: rheumatology; rheumatoid arthritis; risk; marginal structural ... See more keywords