Quantifying and reducing inequity in average treatment effect estimation [PDF]
BMC Medical Research Methodology, 2023 Background Across studies of average treatment effects, some population subgroups consistently have lower representation than others which can lead to discrepancies in how well results generalize.
Kenneth J. Nieser, Amy L. Cochran
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An improved multiply robust estimator for the average treatment effect [PDF]
BMC Medical Research Methodology, 2023 Background In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (ATE). However,
Ce Wang +4 more
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Estimation of average treatment effect based on a multi-index propensity score [PDF]
BMC Medical Research Methodology, 2022 Background Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confounding bias when using observational data to ...
Jiaqin Xu +7 more
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Evaluating effectiveness of payments for forest ecosystem services by propensity scores analysis [PDF]
Ekonomika Poljoprivrede (1979), 2020 The Vietnamese Government have been implementing the Payment for Forest Ecosystem Service (PFES) since 2008 with the aim of both improving natural forest status and enhancing income for mountainous community.
Nguyen Huynh Tan, Hung Nguyen Hoang
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Analysis of a Targeted Intervention Programme on the Risk Behaviours of Injecting Drug Users in India: Evidence From the National Integrated Biological and Behavioural Surveillance Survey [PDF]
Journal of Preventive Medicine and Public Health, 2022 Objectives This study provides insights on the impact of a targeted intervention (TI) programme on behaviour change among injecting drug users (IDUs) in India.
Damodar Sahu +6 more
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Personalized decision making – A conceptual introduction
Journal of Causal Inference, 2023 Personalized decision making targets the behavior of a specific individual, while population-based decision making concerns a subpopulation resembling that individual.
Mueller Scott, Pearl Judea
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Land, 2023 As the transfer speed of land use rights accelerates, the production efficiency of farmer households keeps increasing as well. Based on field survey data of 1368 farmer households in Shandong in 2019, this paper applied the average treatment effect (ATE)
Baomin Cui +3 more
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Latent class instrumental variables and the monotonicity assumption
Emerging Themes in Epidemiology, 2020 A key aspect of the article by Lousdal on instrumental variables was a discussion of the monotonicity assumption. However, there was no mention of the history of the development of this assumption.
Stuart G. Baker
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Individualized treatment rules under stochastic treatment cost constraints
Journal of Causal Inference, 2022 Estimation and evaluation of individualized treatment rules have been studied extensively, but real-world treatment resource constraints have received limited attention in existing methods.
Qiu Hongxiang +2 more
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Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates
Entropy, 2020 Estimating the effects of an intervention from high-dimensional observational data is a challenging problem due to the existence of confounding. The task is often further complicated in healthcare applications where a set of observations may be entirely ...
Sonali Parbhoo +3 more
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