376 citations · 673 across the 11 of their papers we have counts for
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stat.ML2016
Boosting Joint Models for Longitudinal and Time-to-Event Data
Elisabeth Waldmann, David Taylor-Robinson, Nadja Klein +4
Joint Models for longitudinal and time-to-event data have gained a lot of attention in the last few years as they are a helpful technique to approach common a data structure in cli…
stat.ML2015★ 2 cited
On the use of Harrell's C for clinical risk prediction via random survival forests
Matthias Schmid, Marvin Wright, Andreas Ziegler
Random survival forests (RSF) are a powerful method for risk prediction of right-censored outcomes in biomedical research. RSF use the log-rank split criterion to form an ensemble…