Multiple regression models are commonly used to control for confounding in epidemiologic research. Parametric regression models, such as multiple logistic regression, are powerful tools to control for ...
Control for confounding is crucial in causal observational studies. However, the modelling of continuous confounders has not received much attention. This is probably because in causal research the ...
Historic Clinical Trial External Control Arm Provides Actionable GEN-1 Efficacy Estimate Before a Randomized Trial Randomized controlled trials are considered the golden standard for estimating ...
YONGIN, South Korea, Dec. 9, 2025 /PRNewswire/ -- GC Genome, a leading clinical genomics and liquid biopsy company, announced that its study analyzing cell-free DNA (cfDNA) fragmentation patterns in 1 ...
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