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Bipartite Causal Inference with Interference
Statistical methods to evaluate the effectiveness of interventions are increasingly challenged by the inherent interconnectedness of units. Specifically, a recent flurry of methods research has addressed the problem of interference between observations, which arises when one observational unit's outcome depends not only on its treatment but also the ...
Zigler, Corwin M. +1 more
openaire +6 more sources
Causal Inference in Audiovisual Perception [PDF]
In our natural environment the senses are continuously flooded with a myriad of signals. To form a coherent representation of the world, the brain needs to integrate sensory signals arising from a common cause and segregate signals coming from separate causes.
Mihalik, Agoston +2 more
openaire +5 more sources
Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin +11 more
wiley +1 more source
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak +5 more
wiley +1 more source
Reward or punishment? The distribution of life-cycle returns to political office
The remuneration of MPs affects who engages in politics. Even if average returns to office are positive, as found in all other studies, some officeholders’ returns are likely negative.
Jens Olav Dahlgaard +2 more
doaj +1 more source
Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument.
de Luna Xavier, Johansson Per
doaj +1 more source
ABSTRACT We assessed the effect of iron overload (IO) on mortality and complications following hematopoietic stem cell transplantation (HSCT) in patients with Diamond–Blackfan anemia syndrome (DBAS) in a systematic review of individual participant data and cohort data from observational studies.
Geoffrey Z. L. Kuppens +6 more
wiley +1 more source
We argue that more female candidates on the ballot will decrease the gender participation gap at the polls. We test this hypothesis with data from Italian local elections between 2008 and 2020, taking advantage of a 2012 law requiring at least a third of
Emanuel Coman, Sarah Shair-Rosenfield
doaj +1 more source
A philosopher, a medical doctor, and a statistician talk about causality. They discuss the relationships between causality, chance, and statistics, resorting to examples from medicine to develop their arguments.
Chambaz Antoine +2 more
doaj +1 more source
In environmental epidemiological research, extensive non-random environmental exposures and complex confounding biases pose significant challenges when attempting causal inference.
Hui SHI +6 more
doaj +1 more source

