-
David Solano (Research Group on Statistics, Econometrics and Health (GRECS). University of Girona)19/05/2026, 10:00poster
Outlier detection in functional time series is challenging due to temporal dependence and the
Go to contribution page
coexistence of magnitude, shape, and partially contaminated anomalies. Existing methods often assume independence or rely on model-based approaches, such as the Standard Smoothed Bootstrap
on Residuals (SmBoR), which may perform poorly under model misspecification. Model-free alternatives, such as... -
Manuel Moreno (universitat de girona)19/05/2026, 10:00poster
Spatial analyses in epidemiology often rely on accurate geolocation of individuals to estimate spatially structured health outcomes. However, routinely collected surveillance data frequently lack precise residential coordinates, introducing positional uncertainty that can bias spatial inference. This study examines the impact of uncertainty in patient location on the estimated spatial...
Go to contribution page -
Agnieszka Kubik-Komar (University of Life Sciences in Lublin)19/05/2026, 10:00poster
In automatic object detection, reliably counting objects remains challenging, particularly in scenarios with densely packed objects, overlapping instances, large scene variability, or multi-class cases.
Go to contribution page
Common evaluation metrics for object detection are based on Intersection over Union (IoU) and do not directly measure the correctness of the number of detected objects. Consequently, a model... -
Urszula Bronowicka-Mielniczuk (University of Life Sciences in Lublin/Department of Applied Mathematics and Computer Science)19/05/2026, 10:00poster
Missing data is one of the most persistent challenges in environmental monitoring, undermining the reliability of analyses and limiting effective resource management. This issue is particularly critical under European regulations such as the Nitrates Directive (91/676/EEC), which requires accurate monitoring of nitrate concentrations in groundwater to protect ecosystems and public health. Yet,...
Go to contribution page -
Moritz Pamminger (Medical University of Vienna, Center for Medical Data Science, Institute of Clinical Biometrics)19/05/2026, 10:00poster
When addressing a particular research question using observational data, many decisions must be made during the conceptualization of the statistical analysis plan. This multiplicity of analysis strategies is a well-known problem that leads to high variation in research findings and associated low replicability, since each decision can lead to different results, even if each decision on its own...
Go to contribution page -
Agnieszka Król (AstraZeneca)19/05/2026, 10:00poster
Patient reported outcomes (PROs) are routinely used in randomized clinical trials (RCTs) to capture patients’ health status. Symptom-related PROs represent patients’ subjective perception of their health and are often collected multiple times during a clinical trial. For instance, in COPD, breathlessness or cough scores are captured using a small-range ordinal scale (0-4), representing...
Go to contribution page -
Nasrin Salimian (Pardis Specialized Wellness Institute)19/05/2026, 10:00poster
Background. Managing patients with multiple chronic conditions is a major challenge in modern health systems, particularly when exercise and lifestyle interventions are delivered in real-world settings. Robust statistical and machine-learning models require carefully designed data structures that capture the complexity of patients’ trajectories, comorbidities, and treatment exposures. In this...
Go to contribution page -
Miglė Gervytė (Institute of Data Science and Digital Technologies, Faculty of Mathematics and Informatics, Vilnius University)19/05/2026, 10:00poster
Spatial transcriptomics (ST) is a methodological suite that facilitates the in situ, high-resolution measurement of the transcriptome across a designated tissue section. By integrating transcriptional data with spatial coordinates, ST techniques enable the elucidation of key biological phenomena, including cell-type-specific gene regulatory networks, the spatial patterning of cellular...
Go to contribution page -
Zita Zarándy (Center for Molecular Fingerprinting, Semmelweis University)19/05/2026, 10:00poster
Non-communicable diseases (NCDs) impose the largest global burden of morbidity, premature mortality, and healthcare expenditure. To shift from reactive to preventive care, early detection of pre-symptomatic molecular changes is essential. We propose a statistical framework for identifying the most sensitive and robust early molecular predictors of prevalent NCDs — including cardiovascular...
Go to contribution page -
Tina Lang (Bayer AG)19/05/2026, 10:00poster
Preclinical experiments form the empirical foundation of translational medicine by assessing the feasibility, safety, and efficacy of new therapeutic approaches. Yet, unlike the highly regulated standards of clinical trials, preclinical research often exhibits substantial methodological heterogeneity, leading to concerns about reproducibility, bias, and the robustness of conclusions. These...
Go to contribution page -
Hisashi Noma (The Institute of Statistical Mathematics)19/05/2026, 10:00poster
Conventional two-stage procedures for binary-outcome meta-analysis use fixed plug-in estimates of within-study variances and depend heavily on large-sample normal approximations. These assumptions are often untenable and can lead to inaccurate inference, especially in sparse settings. Likelihood-based random-effects models, including the binomial–normal and the hypergeometric–normal (HGN)...
Go to contribution page -
Stanislaw Leskow (Warsaw School of Economics (SGH))19/05/2026, 10:00poster
Physiological monitoring often generates data characterized by strong cyclostationarity (circadian rhythm) and sensor artifacts – irregular noise. Conventional models (e.g. ARIMA) often fail to capture the time-varying dependencies or conflate behavioral rhythms with noise. We propose a signal processing framework adapted for digital health data: the Fraction-of-Time (FOT) probability...
Go to contribution page -
Laura Kohlhas (Cogitars)19/05/2026, 10:00poster
Meaningful prediction of when the target number of events will be reached is essential for both sample-size determination and operational planning in event-driven clinical trials. In oncology studies, progression-free survival (PFS) based on RECIST assessments is one of the most commonly used endpoints. Tumor evaluations for determining progression are typically performed at pre-scheduled...
Go to contribution page -
Tomke Eiben (University of Applied Sciences and Arts, Hannover, Germany)19/05/2026, 10:00poster
The introduction of standardized reporting guidelines has long been a response to inadequate study descriptions, starting with the CONSORT statement for clinical trials in the 1990s (Begg et al., 1996). One major approach to improve transparency and methodological rigor has been the introduction of standardized reporting guidelines such as the ARRIVE guideline (Percie du Sert et al., 2020). ...
Go to contribution page -
Katarzyna Jagoda (University of Plymouth)19/05/2026, 10:00poster
Title: Joint modelling of general and mental health using copula models: a simulation-based evaluation for COVID-19 health research.
COVID-19, the disease caused by the SARS-CoV-2 coronavirus, led to a global pandemic that began in December 2019. In the UK, government-mandated lockdowns were imposed to reduce the spread of the disease and understanding the impact of these actions on the...
Go to contribution page -
Dorota Domagała (University of Life Sciences in Lublin)19/05/2026, 10:00poster
One of the most serious effects of globalisation and human activity on the environment is air pollution. Nitrogen dioxide is particularly harmful to human health. Monitoring its content in the air over a long period of time allows trends to be assessed, and appropriate measures to be taken to improve air quality. In Poland, the Chief Inspectorate for Environmental Protection and its regional...
Go to contribution page -
Dorota Domagała (University of Life Science)19/05/2026, 10:00poster
This study evaluated the performance of the XGBoost method for imputing missing values in air quality data. The analysis used complete measurements of PM2.5, PM10, SO₂, NO, NO₂, and C6H6 recorded in Lublin in January 2020. To simulate missing data, 15%, 20%, and 25% of observations were randomly removed from each variable and imputed using XGBoost trained on the remaining data. Additionally,...
Go to contribution page -
Małgorzata Graczyk (Poznań University of Life Sciences)19/05/2026, 10:00poster
The present study investigates the spatial variability of alder (Alnus) pollen concentrations across different regions of Poland during the period 2001–2020. The primary objective was to identify and classify areas within the country that exhibit similar levels of alder pollen occurrence. The analytical results enabled the delineation of zones characterized by comparable concentrations of the...
Go to contribution page -
Paweł Kurasiński (University of Life Sciences in Lublin City: Lublin)19/05/2026, 10:00poster
This paper presents an analysis of the impact of data clustering on the accuracy of Weibull distribution parameter estimation in strength tests of mineral fertilizer granules. Two approaches are compared: traditional clustering into fixed-width intervals and optimal clustering, derived from a correctly constructed Fisher information matrix for clustered data. Maximum likelihood estimators for...
Go to contribution page -
Sook-young Woo (Samsung Medical Center)19/05/2026, 10:00poster
Selecting clinically meaningful cutoff values for continuous prognostic variables is challenging when the association with risk is U-shaped and competing risks are present. We propose a C index-based method to estimate an optimal pair of cutoff values (c_1,c_2) by directly targeting discriminative accuracy. Our approach first fits a smoothing spline to the log relative hazard from the Fine and...
Go to contribution page -
Gesa Richter (Department of Periodontology, Oral Medicine and Oral Surgery, Charité – Universitätsmedizin Berlin, Berlin, Germany)19/05/2026, 10:00poster
Genetic susceptibility plays a particularly important role in early-onset (EO) and severe periodontitis (PD). The genetic risk remains largely unexplained, due to limited sample sizes and heterogeneous phenotypes in genome-wide association studies (GWAS). This study investigates whether current GWAS data can be used to construct a polygenic score (PGS) capturing genetic susceptibility to...
Go to contribution page -
Monika Różańska-Boczula (University of Life Sciences in Lublin)19/05/2026, 10:00poster
The riverine ecosystems of the Biała and Czarna Lada River valleys are undergoing progressive degradation, accompanied by the spread of invasive plant species. To identify the factors driving these processes, we combined predictive modelling with multivariate analyses. To estimate the odds of habitat invasion and degradation, we used logistic regression and classification trees, which revealed...
Go to contribution page -
Dominic Enders (Institute of Biostatistics and Clinical Research, University of Münster)19/05/2026, 10:00poster
Introduction
Go to contribution page
Rapid results from antimicrobial susceptibility testing (AST) are essential to guide the antimicrobial therapy of critically ill patients. Recent developments have revealed that readily available matrix-assisted laser desorption-ionization-time of flight (MALDI-TOF) mass spectrometry data, which is routinely used for bacterial species identification, can also be used to predict... -
Christoph Gerlinger (Bayer AG, Clinical Statistics and Analytics, Berlin and Department of Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland)19/05/2026, 10:00poster
Realise D is a public-private partnership of almost 40 partners from academia, regulatory bodies, clinical research institutes and hospitals, patient organizations, pharmaceutical companies, methodologists, and European Research Infrastructures. Realise D is part of the European Union’s Innovative Health Initiative and funded jointly by the EU and industry. The project started officially in...
Go to contribution page -
Giulia Varvarà (University of Rennes)19/05/2026, 10:00poster
In oncology trials, tumour-based endpoints, like Progression-Free Survival (PFS), Disease-Free Survival (DFS) or Relapse-Free Survival (RFS), are widely accepted. However, their use is more controversial compared with Overall Survival (OS), due to the subjectivity of tumour assessment, and their sensitivity to censoring rules, as they are more prone to obtaining different results depending on...
Go to contribution page -
Karolina Majdak (Jagiellonian University Medical College, Chair of Epidemiology and Preventive Medicine, Department of Medical Sociology)19/05/2026, 10:00poster
The aim of the study was to verify changes in the association between place of residence and depression prevalence before and after the onset of COVID-19 pandemic. Second objective of the study was to identify indicators of social capital as determinants of the prevalence of depression among people aged 50 years or older living in rural and urban areas.
The study included data from two...
Go to contribution page -
Fatuma Hassen (Department of Medical Laboratory Sciences, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.)19/05/2026, 10:00poster
Survival of breast cancer patients treated at Tikur Anbessa Specialized and Teaching Hospital
Go to contribution page
Hospital, Addis Ababa, Ethiopia.
Fatuma Hassen, Fikre Enquselassie, Ahmed Ali, Adamu Addissie, Girma Taye, Mathewos Assefa, Aster Tsegaye
Abstract
Purpose: Globally, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer-related deaths in women. The purpose of this... -
Michalina Gajdzica (Jagiellonian University - Medical College, Chair of Epidemiology and Preventive Medicine)19/05/2026, 10:00poster
The growing role of social network sites in building and maintaining social relationships, generating social support, and providing information implies the need to develop a tool for measuring online social networks, intended for use in population studies related to health and quality of life. Models based on Item Response Theory are widely used in test development and has proven advantages...
Go to contribution page -
Syntia Souza (UFRPE)19/05/2026, 10:00poster
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social interaction, communication, and restricted and repetitive behavior patterns. In Brazil, according to the Instituto Brasileiro de Geografia e Estatística (IBGE, 2022), approximately 2.4 million individuals have been diagnosed, and this number may reach six million when unidentified cases are...
Go to contribution page -
Jovin Tibenderana (St Francis University College of Health And Allied Sciences)19/05/2026, 10:00poster
Background: Globally about 9 million neonates are diagnosed with birth asphyxia yearly. In Tanzania 40.6% of all neonatal deaths are attributed to birth asphyxia. There is scarcity of evidence on predictors of in-hospital survival among asphyxiated neonates in Tanzania, therefore study aimed to determine trends and predictors of survival among neonates who sustained birth asphyxia at...
Go to contribution page -
Beth McDougall (Department of Statistics, Phastar)19/05/2026, 10:00poster
Background:
Go to contribution page
Oncology trials remain the largest sector of global drug development. However, their complexity, resource demands, and modest success rates underscore the need for more efficient, patient-centred, and methodologically innovative designs.
Objective:
To provide a longitudinal assessment of interventional oncology trial characteristics and design trends from 2000 through 2025... -
Johanna Ledoux (University of Zurich, Department of Biostatistics)19/05/2026, 10:00poster
The win ratio statistic has gained prominence as an interpretable method for analyzing composite endpoints in clinical trials, typically with a superiority objective. The use of the win ratio requires simulation to estimate the necessary sample size (1). Adapting win statistics to non-inferiority trials and incorporating covariate adjustment remain unresolved methodological challenges...
Go to contribution page
Choose timezone
Your profile timezone: