POSTER SESSION B-03: Survival Analysis
Tracks
POSTER AREA (M1 building upper floor)
| Wednesday, July 24, 2024 |
| 9:00 AM - 5:00 PM |
| POSTER AREA (M1 building upper floor) |
Presentations
Prof. Gizem Ayna Duran
Izmir University of Economics, Turkey
P-B03-01 | Identification and validation of survival-associated hub genes in the VAV1 gene network in acute myeloid leukemia
Dr. Aishwarya Bhaskaran
Postdoctoral Research Fellow
Macquarie University, Sydney, Australia
P-B03-02 | A maximum penalised likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring
Ms. Marie Skov Breum
University of Copenhagen, Denmark
P-B03-03 | Efficient nonparametric estimators of discrimination measures with censored survival data
Ms. Roxane Couturier
INSERM UMR 53 CRESS, Paris, France
P-B03-04 | Evaluation of the Survival-inferred fragility index to assess the robustness of the estimated treatment effect on survival endpoints
Ms. Maria De Martino
University of Udine, Italy
P-B03-05 | Assessing different matching methods to evaluate the effectiveness of colchicine in treating myopericarditis
Dr. Fatih Kizilaslan
University of Oslo, Norway
P-B03-06 | Comprehensive analysis of parametric and semiparametric mixture cure models from low- to high-dimensional covariates settings
Dr. Shirin Moghaddam
Associate Professor
University of Limerick, Ireland
P-B03-07 | Penalised power-generalised Weibull distributional regression
Dr. Marilena Müller
Scientist
DKFZ, Heidelberg, Germany
P-B03-08 | Cox regression for comparing a mixture of personalized treatment and standard of care to standard of care
Ms. Parastoo Niloofar
University of Galway, Ireland
P-B03-09 | Translating time to event data using the mean residual function
Ms. Tomomi Nishikawa
National Cancer Center East, Chiba, Japan
P-B03-10 | Examination on analyses for progression free survival as interval-censored data
Dr. Hugo Pedder
University of Bristol, United Kingdom
P-B03-11 | Information sharing in fractional polynomial network meta-analysis where studies report different summaries and subgroup categories: 2nd line treatments for Non-Small Cell Lung Cancer (NSCLC)
Mr. Marius Robert
Phd Student
University of Bordeaux, France
P-B03-12 | Lead time bias correction in breast cancer screening studies
Mr. Mathieu Roche
University of Tours, France
P-B03-13 | Estimation of the Kendall’s Tau in cluster randomised trials with right censored time to event outcomes
Dr. Maral Saadati
DKFZ, Heidelberg, Germany
P-B03-14 | Identification of predictive factors using tree-based models for survival outcomes
Ms. Marije Sluiskes
Leiden UMC, Netherlands
P-B03-15 | Peeling off the hazard layers: A comparison of relative survival techniques to disentangle different components of excess mortality in vulnerable groups during a crisis
Ms. Rachael Stannard
University of Leicester, United Kingdom
P-B03-16 | How to make fair comparisons of population-based survival before, during, and after the COVID-19 pandemic: The role of stage-standardisation
Ms. Yuhe Wang
Research Assistant
University of Leicester, United Kingdom
P-B03-17 | Season of neonatal discharge and risk of unplanned Paediatric Intensive Care Unit admission: A use of flexible parametric modelling
Dr. Yuh-Jenn Wu
Professor
Chung Yuan Christian University, Taoyuan City, Taiwan
P-B03-18 | Bayesian inference of Case II interval-censored data with non-proportionality
Mr. Toby Hackmann
Phd
Leiden UMC, Netherlands
P-B03-19 | Effective sample size for the Kaplan-Meier estimator: An intuitive measure of uncertainty?
Dr. Reshma Kassanjee
Senior Research Officer
University of Cape Town, South Africa
P-B03-20 | The estimation of COVID-19 vaccine effectiveness by time since vaccination in a population-level observational cohort study using linkage of electronic medical records and survival models with time varying exposures
