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20142026
most citedThink before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage

5 citations · 9 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

stat.ME2023★ 5 cited

Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage

Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland +3

While shrinkage is essential in high-dimensional settings, its use for low-dimensional regression-based prediction has been debated. It reduces variance, often leading to improved…

stat.ME2023★ 3 cited

G-formula for causal inference via multiple imputation

Jonathan W. Bartlett, Camila Olarte Parra, Emily Granger +3

G-formula is a popular approach for estimating treatment or exposure effects from longitudinal data that are subject to time-varying confounding. G-formula estimation is typically…