Tree-based multivariate regression and density estimation with right-censored data

By Annette M. Molinaro, Sandrine Dudoit, M. J. van der Laan. 2004

94 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Wei-Yin Loh
2. Richard M. Simon
3. Susan Athey
4. Stefan Wager
5. Julie Tibshirani
6. Ruth M. Pfeiffer
7. Annette M. Molinaro
8. Ji-Hyun Kim

In Plant Science

1. Wei-Yin Loh
2. Julie Tibshirani
3. Richard M. Simon
4. Ruth M. Pfeiffer
5. Susan Athey
6. Stefan Wager
7. Annette M. Molinaro
8. João Gama

In Statistics and Probability

1. Susan Athey
2. Stefan Wager
3. Julie Tibshirani
4. Wei-Yin Loh
5. Mihaela van der Schaar
6. Guido W. Imbens
7. Richard M. Simon
8. Ruth M. Pfeiffer

Citations in the corpus

• Generalized random forests (2016, methodology): “Other classical uses of instrumental variables regression include measuring the impact of military service on lifetime income by using the Vietnam draft lottery as an instrument (Angrist, 1990), and measuring the extent to which 401(k) savings programs crowd out other savings, using eligibility for ”
• Prediction error estimation: a comparison of resampling methods (2005, methodology): “To enhance a general discussion of resampling methods we define a binary random n-vector, S n ∈ {0, 1} n , which splits the observations into the desired subsets (Molinaro et al., 2004).”
• Asymptotics of cross-validated risk estimation in estimator selection and performance assessment (2005, unknown): “, Kn}, as the empirical risk minimizers for each subspace (van der Laan et al., 2004b; Molinaro et al., 2004; Molinaro and van der Laan, 2004; Sinisi and van der Laan, 2004).”
• The Cross-Validated Adaptive Epsilon-Net Estimator (2006, unknown): “Other important problems, including loss-based estimation with censored data, are discussed in related articles (Dudoit and van der Laan, 2003; Dudoit et al., 2004; Keleş et al., 2003; Molinaro et al., 2004; Molinaro and van der Laan, 2004; Sinisi and van der Laan, 2004; van der Laan et al., 2004; v”
• Survival ensembles. (2006, unknown): “Other choices of the observed data loss function are possible, such as that based on doubly robust inverse probability of censoring (DR-IPC) weights (van der Laan and Robins, 2003; Molinaro et al., 2004).”
• Unbiased Recursive Partitioning: A Conditional Inference Framework (2006, unknown): “An alternative is the weighting scheme suggested by Molinaro, Dudoit, and van der Laan (2004).”
• Fifty Years of Classification and Regression Trees (2014, methodology): “Molinaro et al. (2004) used inverse probabilities of censoring as weights to construct trees for censored data.”
• Expert Systems With Applications (unknown): “…( Antipov & Pokryshevskaya, 2012; Bayam, Liebowitz, & Agresti, 2005; Bel, Allard, Laurent, Cheddadi, & Bar-Hen, 2009; Li, Sun, & Wu, 2010; Molinaro, Dudoit, & van der Laan, 2004 ), the simple rule of predicting with mean values at the terminal leaves often means prediction performance is…”