Inverse Probability of Treatment Weighting Using the Propensity Score With Competing Risks in Survival Analysis
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DOI: 10.1002/sim.70009
Abstract: Inverse probability of treatment weighting (IPTW) using the propensity score allows estimation of the effect of treatment in observational studies. We had three objectives: first, to describe methods for using IPTW to estimate the effects… read more here.
Keywords: treatment; inverse probability; competing risks; time specific ... See more keywords
Adjusting for Selection Bias Due to Missing Data in Electronic Health Records‐Based Research by Blending Multiple Imputation and Inverse Probability Weighting
Sign Up to like & getrecommendations! Published in 2025 at "Statistics in Medicine"
DOI: 10.1002/sim.70151
Abstract: Due to the complex process by which electronic health records (EHR) are generated and collected, missing data is a significant challenge when conducting large observational studies using such data. However, most standard methods that seek… read more here.
Keywords: inverse probability; electronic health; missing data; selection bias ... 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 & getrecommendations! 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
Efficient inverse probability weighting method for quantile regression with nonignorable missing data
Sign Up to like & getrecommendations! Published in 2017 at "Statistics"
DOI: 10.1080/02331888.2016.1268615
Abstract: ABSTRACT Quantitle regression (QR) is a popular approach to estimate functional relations between variables for all portions of a probability distribution. Parameter estimation in QR with missing data is one of the most challenging issues… read more here.
Keywords: inverse probability; probability; regression; probability weighting ... See more keywords
Augmented inverse probability weighted estimation for conditional treatment effect
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2024.2377664
Abstract: The Augmented Inverse Probability Weighted (AIPW) estimation has been extensively studied in various scenarios across diverse research areas. This investigation explores the asymptotic properties of the AIPW estimator for the conditional average treatment effect. Under… read more here.
Keywords: probability weighted; treatment effect; inverse probability; augmented inverse ... See more keywords
A Simulation Study Comparing the Performance of Time-Varying Inverse Probability Weighting and g-Computation in Survival Analysis.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of epidemiology"
DOI: 10.1093/aje/kwac162
Abstract: Inverse probability weighting (IPW) and g-computation are commonly used in time-varying analyses. To inform decisions on which to use, we compared these methods using a plasmode simulation, based on the Effects of Aspirin in Gestation… read more here.
Keywords: computation; time; inverse probability; time varying ... See more keywords
Inverse probability weighting to estimate exposure effects on the burden of recurrent outcomes in the presence of competing events.
Sign Up to like & getrecommendations! Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad031
Abstract: Recurrent events - outcomes that an individual can experience repeatedly over the course of follow-up - are common in epidemiologic and health services research. Studies involving recurrent events often focus on time to first occurrence… read more here.
Keywords: probability weighting; inverse probability; mean cumulative; cumulative count ... See more keywords
A Per-Protocol Analysis using Inverse Probability of Censoring Weights in a Randomized Trial of Initial PI versus NNRTI Regimens in Children.
Sign Up to like & getrecommendations! Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad054
Abstract: Protocol adherence may influence measured treatment effectiveness in randomized controlled trials. Using data from a multicenter trial from Europe and North and South America in 2002-2009 of children with HIV-1 randomized to initial protease inhibitor… read more here.
Keywords: per protocol; probability censoring; nnrti regimens; inverse probability ... See more keywords
Inverse Probability Weights for Quasi-Continuous Ordinal Exposures with a Binary Outcome: Method Comparison and Case Study.
Sign Up to like & getrecommendations! Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad085
Abstract: Inverse probability weighting (IPW), a well-established method to control for confounding in observational studies with binary exposures, has been extended to analyses with continuous exposures. Methods developed for continuous exposures may not apply when the… read more here.
Keywords: probability weights; continuous exposures; inverse probability; method ... See more keywords
The completed SDSS-IV extended baryon oscillation spectroscopic survey: pairwise-inverse probability and angular correction for fibre collisions in clustering measurements
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa2344
Abstract: The completed eBOSS catalogues contain redshifts of 344080 QSOs over 0.8 read more here.
Keywords: pairwise inverse; fibre collisions; clustering measurements; inverse probability ... See more keywords
Exploring the Subtleties of Inverse Probability Weighting and Marginal Structural Models.
Sign Up to like & getrecommendations! Published in 2018 at "Epidemiology"
DOI: 10.1097/ede.0000000000000813
Abstract: Since being introduced to epidemiology in 2000, marginal structural models have become a commonly used method for causal inference in a wide range of epidemiologic settings. In this brief report, we aim to explore three… read more here.
Keywords: inverse probability; structural models; marginal structural; epidemiology ... See more keywords