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On Variance of the Treatment Effect in the Treated When Estimated by Inverse Probability Weighting [PDF]

open access: yesAmerican Journal of Epidemiology, 2022
Abstract In the analysis of observational studies, inverse probability weighting (IPW) is commonly used to consistently estimate the average treatment effect (ATE) or the average treatment effect in the treated (ATT). The variance of the IPW ATE estimator is often estimated by assuming that the weights are known and then using the so ...
Sarah A Reifeis, Michael Hudgens
exaly   +3 more sources
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Adjusted win ratio using the inverse probability of treatment weighting

Journal of Biopharmaceutical Statistics, 2023
The win ratio method has been increasingly applied in the design and analysis of clinical trials. However, the win ratio method is a univariate approach that does not allow for adjusting for baseline imbalances in covariates, although a stratified win ratio can be calculated when the number of strata is small.
Duolao Wang   +5 more
openaire   +2 more sources

Variance Estimation When Using Inverse Probability of Treatment Weighting (IPTW) With Survival Analysis

open access: yesStatistics in Medicine, 2016
Propensity score methods are used to reduce the effects of observed confounding when using observational data to estimate the effects of treatments or exposures. A popular method of using the propensity score is inverse probability of treatment weighting (IPTW).
Peter Austin
exaly   +3 more sources

Neighbourhood walkability and the incidence of diabetes: an inverse probability of treatment weighting analysis

Journal of Epidemiology and Community Health, 2019
Background People living in highly walkable neighbourhoods tend to be more physically active and less likely to be obese. Whether walkable urban design reduces the future risk of diabetes is less clear. Methods We used inverse probability of ...
Gillian L Booth   +9 more
openaire   +2 more sources

Consistent inverse probability of treatment weighted estimation of the average treatment effect with mismeasured time‐dependent confounders

Statistics in Medicine, 2022
In longitudinal studies, the inverse probability of treatment weighted (IPTW) method is commonly employed to estimate the effect of time‐dependent treatments on an outcome of interest. However, it has been documented that when the confounders are subject to measurement error, the naive IPTW method which simply ignores measurement error leads to biased ...
Ying Yan, Mingchen Ren
openaire   +3 more sources

A Primer on Inverse Probability of Treatment Weighting and Marginal Structural Models

Emerging Adulthood, 2015
Emerging adulthood researchers are often interested in the effects of developmental tasks. The majority of transitions that occur during the period of early/emerging adulthood are not randomized; therefore, their effects on developmental trajectories are subject to potential bias due to confounding.
Felix Thoemmes, Anthony D. Ong
openaire   +1 more source

Inverse probability of treatment weighting: an underused method for addressing confounding

2021
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)
openaire   +1 more source

Lenvatinib versus sorafenib in first‐line treatment of unresectable hepatocellular carcinoma: An inverse probability of treatment weighting analysis

Liver International, 2021
AbstractPurposeData from common clinical practice were used to generate balanced cohorts of patients receiving either sorafenib or lenvatinib, for unresectable hepatocellular carcinoma, with the final aim to investigate their declared equivalence.MethodsClinical features of lenvatinib and sorafenib patients were balanced through inverse probability of ...
Casadei-Gardini A.   +48 more
openaire   +4 more sources

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