Causal inference is important in medical research to help determine if treatments are beneficial and if natural exposures are harmful. In many settings, data collection makes causal inference ...

Statistical inference in linear models centres on estimating relationships between a response variable and one or more predictors under the assumption that these relationships can be expressed as a ...

Statistical inference comprises the framework by which data are used to draw conclusions about underlying phenomena or populations. At its heart lies hypothesis testing, a procedure that evaluates ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...

In a perspective published in Psychoradiology, researchers from Shanghai Jiao Tong University confronted causal inference in clinical neuroscience research and advocate for more clarity and ...

Eleanor has an undergraduate degree in zoology from the University of Reading and a master’s in wildlife documentary production from the University of Salford.View full profile Eleanor has an ...

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