Although the focus of some research may be to measure relationships between variables or produce accurate predictions of an outcome of interest, other research may necessitate a design or analytic ...
Correspondence to Dr Kaitlin H Wade, Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; Kaitlin.Wade{at}bristol.ac.uk Kujala provides an insightful review contesting ...
Despite the contributions of more than 700,000 men to randomized controlled trials (RCTs) of prostate cancer (PC) screening over several decades, it is still unclear whether there is a PC-specific ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Recent decades have seen a surge in the development of methods to answer questions regarding causality—such as whether exposure to particulate matter increases mortality—from data arising from ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
Every large language model begins as a question of proportion. How much web text? How much code? How much scientific literature? The ratio of training data across these domains — what researchers call ...
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