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Frontiers in Education, 2022 Workplace discrimination continues to at least be perceived as a problem by faculty and staff in higher education. The current study extends the academic literature in this area by exploring the possibility of gender discrimination in the wages of ...
Steven B. Caudill +3 more
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On inverse probability-weighted estimators in the presence of interference [PDF]
Biometrika, 2016 We consider inference about the causal effect of a treatment or exposure in the presence of interference, i.e., when one individual’s treatment affects the outcome of another individual. In the observational setting where the treatment assignment mechanism is not known, inverse probability-weighted estimators have been proposed when individuals can be ...
Liu, L. +2 more
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A note on overadjustment in inverse probability weighted estimation [PDF]
Biometrika, 2010 Standardized means, commonly used in observational studies in epidemiology to adjust for potential confounders, are equal to inverse probability weighted means with inverse weights equal to the empirical propensity scores. More refined standardization corresponds with empirical propensity scores computed under more flexible models.
Andrea Rotnitzky +2 more
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Inverse probability weighting for clustered nonresponse [PDF]
Biometrika, 2011 Correlated nonresponse within clusters arises in certain survey settings. It is often represented by a random effects model and assumed to be cluster-specific nonignorable, in the sense that survey and nonresponse outcomes are conditionally independent given cluster-level random effects.
Chris J. Skinner, Julia D'Arrigo
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Using inverse probability weighting to address post-outcome collider bias [PDF]
, 2021 We consider the problem of bias arising from conditioning on a post-outcome collider. We illustrate this with reference to Elwert and Winship (2014) but we go beyond their study to investigate the extent to which inverse probability weighting might offer
Breen, Richard, Ermisch, John
core +1 more source
Understanding Marginal Structural Models for Time-Varying Exposures: Pitfalls and Tips
Journal of Epidemiology, 2020 Epidemiologists are increasingly encountering complex longitudinal data, in which exposures and their confounders vary during follow-up. When a prior exposure affects the confounders of the subsequent exposures, estimating the effects of the time-varying
Tomohiro Shinozaki, Etsuji Suzuki
doaj +1 more source
Inverse Probability Weights for the Analysis of Polytomous Outcomes [PDF]
American Journal of Epidemiology, 2018 Polytomous outcomes are common in epidemiologic studies. Analyses based on multinomial models employ a likelihood that utilizes the data observed in all outcome categories simultaneously and permits inferences regarding associations across outcome categories.
David B, Richardson +5 more
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BMC Medical Informatics and Decision Making, 2020 Background and objectives Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity.
Carmen Sayon-Orea +9 more
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Demographics after inverse probability weighting.
, 2022 Demographics after inverse probability weighting.
Kiyuk Chang (3620258) +18 more
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Differences in Abdominal Body Composition According to Glycemic Status: An Inverse Probability Treatment Weighting Analysis [PDF]
Endocrinology and Metabolism, 2021 Background Several studies have reported that abdominal fat and muscle changes occur in diabetic patients. However, there are few studies about such changes among prediabetic patients.
Seungbong Han +6 more
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