West China Hospital of Sichuan University A Perspective published in Volume 3 of the journal Psychoradiology , researchers from Shanghai Jiao Tong University confronted these challenges and advocates for more clarity and transparency in causal analyses. The review distinguishes between traditional statistical analysis and causal inference, highlighting the need for specific causal assumptions, like the Stable Unit Treatment Value Assumption (SUTVA). Randomized controlled trials (RCTs) are considered the gold standard for estimating causal effects.

https://www.miragenews.com/call-for-clarity-advancing-causal-inference-in-1046454/

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