POSTER SESSION A-06: Causal Inference
Tracks
POSTER AREA (M1 building upper floor)
| Monday, July 22, 2024 |
| 9:00 AM - 5:00 PM |
| POSTER AREA (M1 building upper floor) |
Presentations
Dr. Rachid Abbas
Senior Statistical Scientist
F. Hoffman-La Roche, Basel, Switzerland
P-A06-01 | Target trial emulation to leverage randomized trial data: investigate alternative questions of interest in late stage development of monoclonal antibodies in Alzheimer’s disease
Ms. Nicole Fontana
Phd Student
Milan Polytechnic, Italy
P-A06-02 | Drug repurposing of metformin via emulating a target trial for preventing chronic kidney disease progression
Dr. Josef Fritz
Medical University of Innsbruck, Austria
P-A06-03 | Target trial emulation to overcome immortal time bias in real-world data of urothelial cancer
Dr. Derek Hazard
Faculty of Medicine and Medical Center, University of Freiburg, Germany
P-A06-04 | Target trial emulation with competing risk analysis using hospital observational data from COVID-19 patients
Ms. Jingyi Xuan
University College London, United Kingdom
P-A06-05 | Using inverse probability of censoring weighting to estimate hypothetical estimands in clinical trials: Should we implement stabilisation, and if so how?
Prof. Christiana Drake
University of California
P-A06-06 | Causal inference for integrating external data in randomised trials
Ms. Susanne Dandl
PostDoc
LMU Munich, Germany
P-A06-07 | Heterogeneous treatment effect estimation for observational data using model-based forests
Ms. Ilaria Prosepe
Leiden UMC, Netherlands
P-A06-08 | Causal updating of prediction models in a pandemic environment
Mr. Hiroyuki Shiiba
The Graduate University for Advanced Studies (SOKENDAI), Tachikawa, Japan
P-A06-09 | Marginal structural models for estimating causal risk ratio and causal risk difference in longitudinal studies
Ms. Charlotte Voinot
PhD
INRIA / Sanofi, Le Chesnay Rocquencourt, France
P-A06-10 | Estimation of the Average Treatment Effect (ATE) in causal survival: Comparison, applications and practical recommendations
Dr. Junxian Zhu
National University of Singapore
P-A06-11 | Estimating causal effect on count outcome with excess zeros in randomised clinical trials subject to some degree of noncompliance
Dr. Alessandro Gasparini
Karolinska Institutet, Stockholm, Sweden
P-A06-12 | Mediation analysis with imperfectly defined mediators: A microsimulation experiment with breast cancer survival, socio-economic status, and stage at diagnosis
Ms. Katherine Holdsworth
London School of Hygiene & Tropical Medicine (LSHTM), United Kingdom
P-A06-13 | Causal mediation analysis for a survival outcome with longitudinal mediators, time-varying confounders and left truncation
Dr. Sharon Lutz
Associate Professor
Harvard Medical School, Boston MA, United States
P-A06-14 | Estimating correlations when inferring the causal direction between two traits in genetic association studies
Dr. Elisavet Syriopoulou
Karolinska Institutet, Stockholm, Sweden
P-A06-15 | Mediation analysis with multiple mediators using the relative survival framework: An example exploring socioeconomic differences in cancer survival
Dr. Julia Krzykalla
Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
P-A06-16 LB | Biomarkers in clinical drug development: A mediation analysis approach
Ms. Nilufar Akbari
Charité - Universitätsmedizin Berlin, Germany
P-A06-17 | Comparison of modeling approaches for continuous covariates in explanatory modeling: Does it matter which methods are used?
Dr. Fabiola Del Greco Miglianico
Eurac Research
P-A06-18 | Accounting for the between-study heterogeneity when selecting instrumental variables for two-sample Mendelian randomisation studies
Ms. Tianyuan Gu
PhD Student
National University of Singapore
P-A06-19 | Implications of non-compliance in the experimental arm on treatment effect metrics in randomised controlled trials: A methodological assessment
Dr. Laura Güdemann
University of Exeter, United Kingdom
P-A06-20 | Assessing patient subgroups specific safety and effectiveness of oral type 2 diabetes treatments using the Local Instrumental Variable method
Dr. Emanuele Koumantakis
University of Turin, Italy
P-A06-21 | Dealing with highly imbalanced groups from surveys: Life satisfaction among Italian native, migrant and international adopted adolescents
Mr. Etienne Peyrot
Phd Candidate
Paris Cité University, France
P-A06-22 | Comparing covariates balancing methods, a simulation study
