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Bioinformatics (Oxford, England)|August 3, 2019
Non-parametric individual treatment effect estimation for survival data with random forestsSami Tabib, Denis LarocqueComputer Methods and Programs in Biomedicine|December 24, 2025
Random forests for individual treatment effect estimation with the R package ITERFSami Tabib, Denis LarocqueStatistical Methods in Medical Research|October 9, 2024
Comparison of random forest methods for conditional average treatment effect estimation with a continuous treatmentSami Tabib, Denis LarocqueStatistical Methods in Medical Research|February 22, 2019
Prediction intervals with random forestsMarie-Hélène Roy, Denis LarocqueStatistical Methods in Medical Research|August 25, 2017
Survival forests for data with dependent censoringHoora Moradian, Denis Larocque, François BellavanceStatistical Methods in Medical Research|July 9, 2015
Global tests for noveltyIlmari Ahonen, Denis Larocque, Jaakko NevalainenBMC Bioinformatics|June 17, 2023
Covariance regression with random forestsCansu Alakus, Denis Larocque, Aurélie LabbeStatistical Methods in Medical Research|November 26, 2019
Random forests for homogeneous and non-homogeneous Poisson processes with excess zerosWalid Mathlouthi, Denis Larocque, Marc FredetteLifetime Data Analysis|July 6, 2016
L₁ splitting rules in survival forestsHoora Moradian, Denis Larocque, François BellavanceEntropy (Basel, Switzerland)|December 3, 2020
Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly DetectionMichael R Lindstrom, Hyuntae Jung, Denis LarocquePageof 2