8 citations · 13 across the 7 of their papers we have counts for
7 papers
A note on a resampling procedure for estimating the density at a given quantile
Beatriz Farah, Aurélien Latouche, Olivier Bouaziz
In this paper we refine the procedure proposed by Lin et al. (2015) to estimate the density at a given quantile based on a resampling method. The approach consists on generating mu…
Designing clinical trials for the comparison of single and multiple quantiles with right-censored data
Beatriz Farah, Olivier Bouaziz, Aurélien Latouche
Based on the test for equality of quantiles originally introduced by Kosorok (1999), we propose new power formulas for the comparison of one quantile between two treatment groups,…
A Parametric Approach to Relaxing the Independence Assumption in Relative Survival Analysis
Reuben Adatorwovor, Aurelien Latouche, Jason P. Fine
With known cause of death (CoD), competing risk survival methods are applicable in estimating disease-specific survival. Relative survival analysis may be used to estimate disease-…
Causal inference with multiple versions of treatment and application to personalized medicine
Jonas Béal, Aurélien Latouche
The development of high-throughput sequencing and targeted therapies has led to the emergence of personalized medicine: a patient's molecular profile or the presence of a specific…
Simulating recurrent events that mimic actual data: a review of the literature with emphasis on event-dependence
Juliette Pénichoux, Thierry Moreau, Aurélien Latouche
We conduct a review to assess how the simulation of repeated or recurrent events are planned. For such multivariate time-to-events, it is well established that the underlying mecha…
A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model
Arthur Allignol, Jan Beyersmann, Thomas Gerds +1
Competing risks model time to first event and type of first event. An example from hospital epidemiology is the incidence of hospital-acquired infection, which has to account for h…