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
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
On the Relation Between G-formula and Inverse Probability Weighting Estimators for Generalizing Trial Results.
Sign Up to like & getrecommendations! Published in 2019 at "Epidemiology"
DOI: 10.1097/ede.0000000000001097
Abstract: When generalizing inferences from a randomized trial to a target population, two classes of estimators are used: g-formula estimators that depend on modeling the conditional outcome mean among trial participants and inverse probability (IP) weighting… read more here.
Keywords: probability weighting; weighting estimators; inverse probability; probability ... See more keywords
Epidemiology of adenosarcoma and the inverse probability of treatment weighting (IPTW) adjusted survival analysis of lymph node dissection in uterine adenosarcoma
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DOI: 10.1097/md.0000000000030607
Abstract: The objective for the study was to analysis the epidemiology of adenosarcoma, and independent prognostic factors and impact of lymph node dissection (LND) of uterine adenosarcoma. Cases of patients with primary adenosarcoma were obtained from… read more here.
Keywords: adenosarcoma; probability treatment; inverse probability; lymph node ... See more keywords
Instability of inverse probability weighting methods and a remedy for nonignorable missing data.
Sign Up to like & getrecommendations! Published in 2023 at "Biometrics"
DOI: 10.1111/biom.13881
Abstract: Inverse probability weighting (IPW) methods are commonly used to analyze nonignorable missing data (NIMD) under the assumption of a logistic model for the missingness probability. However, solving IPW equations numerically may involve nonconvergence problems when the… read more here.
Keywords: nonignorable missing; missing data; inverse probability; model ... See more keywords
Statistical methods for incomplete data: Some results on model misspecification
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280214544251
Abstract: Inverse probability weighted estimating equations and multiple imputation are two of the most studied frameworks for dealing with incomplete data in clinical and epidemiological research. We examine the limiting behaviour of estimators arising from inverse… read more here.
Keywords: probability weighted; inverse probability; probability; model misspecification ... See more keywords