POSTER SESSION B-11: Analysis of Imperfect Data (including Missing Data & Measurement errors)
Tracks
POSTER AREA (M1 building upper floor)
| Wednesday, July 24, 2024 |
| 9:00 AM - 5:00 PM |
| POSTER AREA (M1 building upper floor) |
Presentations
Dr. Joydeep Basu
Research Fellow
University of Warwick, Coventry, United Kingdom
P-B11-01 | Estimating treatment effect in longitudinal trials with monotone missingness for mixed observations
Dr. Vineet Kumar Kamal
All India Institute of Medical Sciences, Kalyani, India
P-B11-02 | Assessment and comparison of classical and machine learning approaches for imputing missing data in the framework of excess hazard analysis
Dr. Michail Katsoulis
University College London, United Kingdom
P-B11-03 | A data driven approach to address missing data in the 1970 British birth cohort
Dr. Natasa Kejzar
University of Ljubljana Faculty of Medicine, Slovenia
P-B11-04 | Biomarkers with limit of detection: Modelling composite event in patients with PAD
Mr. Matteo Petrosino
University of Milano-Bicocca, Italy
P-B11-05 | The use of Joint and Cox models to assess the association between a longitudinal marker and a time-to-event: A simulation study under different missing mechanisms and applications in ICU setting
Mr. Bohan Zhang
University of Manchester, United Kingdom
P-B11-06 | Investigating the performance of missing data methods when applied to time-series environmental exposure data: A simulation study
Ms. Saghar Garayemi
Augsburg University, Germany
P-B11-07 | Missing data imputation in the context of propensity score analysis: A systematic review
Dr. Emily Kawabata
University of Bristol, United Kingdom
P-B11-08 | Scoping review of software implementations of quantitative bias analysis to informatively missing data
Ms. Neža Dvoršak
University of Bath, United Kingdom
P-B11-09 | Accounting for missing data when calculating conditional/predictive power
Mr. Dominik Grathwohl
Statistician
Société des Produits Nestlé, Lausanne, Switzerland
P-B11-10 | Quantifying the benefits of double measurements for anthropometric estimates in paediatric clinical trials
Prof. Stanislav Katina
Senior Statistician
Sotio, Prague, Czech Republic
P-B11-11 | Methods of estimating parameters of skewed or truncated normal distribution in the presence of observations outside of measurable range
Ms. Tamae Kawasaki
Associate Professor
Aoyama Gakuin University, Tokyo, Japan
P-B11-12 | Maximum likelihood estimation of the correlation coefficient for a trivariate normal distribution with missing data
Prof. Toshiro Tango
Director
Center or Medical Statistics, Tokyo, Japan
P-B11-13 | Can we estimate a risk without observing the relevant number of cases?
