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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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Application of inverse probability weights in survival analysis [PDF]
Journal of Nuclear Cardiology, 2015 Suppose that a researcher is interested in comparing two ‘‘treatments’’—A and B—and how the treatment affects an outcome of interest. The ideal study design would be to conduct a randomized trial where treatment assignment is randomly assigned. The random treatment assignment aims to make the subjects between the two treatments similar, i.e., it aims ...
Guoqiao, Wang, Inmaculada, Aban
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Demographics after inverse probability weighting.
, 2022 Demographics after inverse probability weighting.
Kiyuk Chang (3620258) +18 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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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
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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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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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Risks of outcomes among immunocompromised patients after inverse probability of treatment weighting.
, 2021 Risks of outcomes among immunocompromised patients after inverse probability of treatment weighting.
Sun-Young Jung (295962) +4 more
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, 2022 Baseline characteristics of the atrial fibrillation populations after inverse probability of treatment weighting.
Sylvie Perreault (3574211) +5 more
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