How strong is the evidence for a causal reciprocal effect? Contrasting traditional and new methods to investigate the reciprocal effects model of self-concept and …
N Hübner, W Wagner, S Zitzmann… - Educational Psychology …, 2023 - Springer
The relationship between students' subject-specific academic self-concept and their
academic achievement is one of the most widely researched topics in educational …
academic achievement is one of the most widely researched topics in educational …
Propensity score weighting under limited overlap and model misspecification
Y Zhou, RA Matsouaka… - Statistical methods in …, 2020 - journals.sagepub.com
Propensity score weighting methods are often used in non-randomized studies to adjust for
confounding and assess treatment effects. The most popular among them, the inverse …
confounding and assess treatment effects. The most popular among them, the inverse …
Quasi-experimental designs for causal inference: An overview
H Cham, H Lee, I Migunov - Asia Pacific Education Review, 2024 - Springer
The randomized control trial (RCT) is the primary experimental design in education research
due to its strong internal validity for causal inference. However, in situations where RCTs are …
due to its strong internal validity for causal inference. However, in situations where RCTs are …
Can the cytokine adsorber CytoSorb® help to mitigate cytokine storm and reduce mortality in critically ill patients? A propensity score matching analysis
C Scharf, I Schroeder, M Paal, M Winkels… - Annals of intensive …, 2021 - Springer
Background A cytokine storm is life threatening for critically ill patients and is mainly caused
by sepsis or severe trauma. In combination with supportive therapy, the cytokine adsorber …
by sepsis or severe trauma. In combination with supportive therapy, the cytokine adsorber …
On adaptive propensity score truncation in causal inference
C Ju, J Schwab… - Statistical methods in …, 2019 - journals.sagepub.com
The positivity assumption, or the experimental treatment assignment (ETA) assumption, is
important for identifiability in causal inference. Even if the positivity assumption holds …
important for identifiability in causal inference. Even if the positivity assumption holds …
Variance estimation for the average treatment effects on the treated and on the controls
Common causal estimands include the average treatment effect, the average treatment
effect of the treated, and the average treatment effect on the controls. Using augmented …
effect of the treated, and the average treatment effect on the controls. Using augmented …
Learning sources of variability from high-dimensional observational studies
Causal inference studies whether the presence of a variable influences an observed
outcome. As measured by quantities such as the" average treatment effect," this paradigm is …
outcome. As measured by quantities such as the" average treatment effect," this paradigm is …
More robust estimation of sample average treatment effects using kernel optimal matching in an observational study of spine surgical interventions
Inverse probability of treatment weighting (IPTW), which has been used to estimate sample
average treatment effects (SATE) using observational data, tenuously relies on the positivity …
average treatment effects (SATE) using observational data, tenuously relies on the positivity …
Evaluating uses of deep learning methods for causal inference
A Whata, C Chimedza - IEEE Access, 2022 - ieeexplore.ieee.org
Logistic regression (LR) is a popular method that is used for estimating causal effects in
observational studies using propensity scores. We examine the use of deep learning models …
observational studies using propensity scores. We examine the use of deep learning models …
[HTML][HTML] Differential impact of the UNOS simultaneous liver-kidney transplant policy change among patients with sustained acute kidney injury
Background. Simultaneous liver-kidney transplant (SLK) allocation policy in the United
States was revised in August 2017, reducing access for liver transplant candidates with …
States was revised in August 2017, reducing access for liver transplant candidates with …