output
20142024
most citedEstimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis

932 citations

9 papers

stat.ME2024★ 1 cited

Is checking for sequential positivity violations getting you down? Try sPoRT!

Arthur Chatton, Michael Schomaker, Miguel-Angel Luque-Fernandez +2

Background: Sequential positivity is often a necessary assumption for drawing causal inferences, such as through marginal structural modeling. Unfortunately, verification of this a…

stat.ME2023

Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes

Arthur Chatton, Michèle Bally, Renée Lévesque +3

Obtaining continuously updated predictions is a major challenge for personalised medicine. Leveraging combinations of parametric regressions and machine learning approaches, the pe…

physics.med-ph2020★ 9 cited

RapidBrachyMCTPS 2.0: A Comprehensive and Flexible Monte Carlo-Based Treatment Planning System for Brachytherapy Applications

Harry Glickman, Majd Antaki, Christopher Deufel +1

We have previously described RapidBrachyMCTPS, a brachytherapy treatment planning toolkit consisting of a graphical user interface (GUI) and a Geant4-based Monte Carlo (MC) dose ca…

stat.ME2019★ 932 cited

Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis

Sean McGrath, XiaoFei Zhao, Russell Steele +4

Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta…

cs.LG2018★ 575 cited

The relativistic discriminator: a key element missing from standard GAN

Alexia Jolicoeur-Martineau

In standard generative adversarial network (SGAN), the discriminator estimates the probability that the input data is real. The generator is trained to increase the probability tha…

stat.AP2017

Distinguishing differential susceptibility, diathesis-stress and vantage sensitivity: beyond the single gene and environment model

Alexia Jolicoeur-Martineau, Jay Belsky, Eszter Szekely +4

Currently, two main approaches exist to distinguish differential susceptibility from diathesis-stress and vantage sensitivity in genotype x environment interaction (GxE) research:…

cs.CV2017

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Martin Vallières, Emily Kay-Rivest, Léo Jean Perrin +9

Quantitative extraction of high-dimensional mineable data from medical images is a process known as radiomics. Radiomics is foreseen as an essential prognostic tool for cancer risk…

stat.ME2016★ 15 cited

Fully Bayesian Classification with Heavy-tailed Priors for Selection in High-dimensional Features with Grouping Structure

Lai Jiang, Longhai Li, Weixin Yao

Feature selection is demanded in many modern scientific research problems that use high-dimensional data. A typical example is to find the most useful genes that are related to a c…

q-bio.MN2014★ 83 cited

Cancer systems biology in the genome sequencing era: Part 1, dissecting and modeling of tumor clones and their networks

Edwin Wang, Jinfeng Zou, Naif Zaman +3

Recent tumor genome sequencing confirmed that one tumor often consists of multiple cell subpopulations (clones) which bear different, but related, genetic profiles such as mutation…