Results 51 to 60 of about 1,239,696 (252)
, 2021 Implement calculation of conditional independencies (#29, thanks @JosephCottam) Add causal fusion parser Implement Taheri Experimental Design workflow Add several mutation functions for probability distributions (#10, #47) Begin using black code ...
Jeremy Zucker +2 more
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Political Science Research and MethodsWe 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
Journal of Causal Inference, 2019 Providing terminally ill patients with access to experimental treatments, as allowed by recent “right to try” laws and “expanded access” programs, poses a variety of ethical questions.
Hazlett Chad
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Data integration in causal inference
WIREs Computational Statistics, 2022 AbstractIntegrating data from multiple heterogeneous sources has become increasingly popular to achieve a large sample size and diverse study population. This article reviews development in causal inference methods that combines multiple datasets collected by potentially different designs from potentially heterogeneous populations.
Xu Shi, Ziyang Pan, Miao Wang
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Improving Outcomes in Machine Learning and Data-Driven Learning Systems using Structural Causal Models [PDF]
, 2023 The field of causal inference has experienced rapid growth and development in recent years. Its significance in addressing a diverse array of problems and its relevance across various research and application domains are increasingly being acknowledged ...
Mbogu, Henry Maduka
core
Reward or punishment? The distribution of life-cycle returns to political office
Political Science Research and MethodsThe 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
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Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
Journal of Causal Inference, 2014 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
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Multisensory Causal Inference in the Brain [PDF]
PLOS Biology, 2015 At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object,
Kayser, Christoph, Shams, L.
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环境与职业医学In environmental epidemiological research, extensive non-random environmental exposures and complex confounding biases pose significant challenges when attempting causal inference.
Hui SHI +6 more
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Journal of Causal Inference, 2014 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
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