Detailed Conference Programme
The conference will be held in three different room, which are:
- BALO SALONU, located on the first floor (i.e., Floor M),
- NAMIK SEVIK, located on the fourth floor (i.e., Floor P), and
- ACELYA, located on the fourth floor (i.e., Floor P)
The ACELYA room will be open early in the morning on the first day of the conference during the pre-conference course session.
Please note that concurrent presentations in parallel sessions are indicated in different colors. The presenter of each study is given in
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> Day 1: May 8, Monday
Time Presentation Room 09:00 - 10:30 COURSE I
Introduction to explainable machine learning with examples in healthcare
BALO SALONU COURSE II
Removing unwanted variation from large-scale RNA sequencing data with PRPS
NAMIK SEVIK COURSE III
How to use cloud technologies for reliable and responsible Data Science projects?
ACELYA 10:30 - 11:00 Coffee Break
11:00 - 12:30 COURSE I
Introduction to explainable machine learning with examples in healthcare
BALO SALONU COURSE II
Removing unwanted variation from large-scale RNA sequencing data with PRPS
NAMIK SEVIK COURSE III
How to use cloud technologies for reliable and responsible Data Science projects?
ACELYA 12:30 - 13:30 LUNCH
13:30 - 15:00 HONORARY MINI SYMPOSIUM: SESSION I
Chair: Yoav Benjamini
> Sparse kernel factor analysis model for high-dimensional undersampled cancer data sets and supervised classification with information complexity criterion
BALO SALONU > Variational multiple imputation in high-dimensional regression models with missing response
BALO SALONU > GENESELECTML: A comprehensive way of gene selection for RNA‑seq data via machine-learning algorithms
BALO SALONU COURSE II
Removing unwanted variation from large-scale RNA sequencing data with PRPS
NAMIK SEVIK 15:00 - 15:30 Coffee Break
15:30 - 17:30 HONORARY MINI SYMPOSIUM: SESSION II
Chair: Atilla Halil Elhan
> Confidence intervals for the Weitzman overlapping coefficient: the Binormal approach and alternatives
BALO SALONU > Mapping the disease prevalence of TÜRKİYE
BALO SALONU > The applied statistical (data) scientist in a high-profile and societal environment - IBS and EMR
BALO SALONU > Ergun Karaağaoğlu & Turkish Journal of Biochemistry
BALO SALONU COURSE II
Removing unwanted variation from large-scale RNA sequencing data with PRPS
NAMIK SEVIK 17:30 - 18:30 HONORARY MINI SYMPOSIUM: SESSION III
Chairs: İlker Ünal and Erdal Çoşgun
H. Refik Burgut and A. Ergun Karaağaoğlu
BALO SALONU 18:30 - 20:30 Opening Cocktail (at Saint Voukolos Church) (How to Reach?: https://tinyurl.com/2bxrhfu3)
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> Day 2: May 9, Tuesday
Time Presentation Room 08:00 - 08:30 Registration Opens
08:30 - 09:30 WELCOME SESSION
> Talk by EMR 2023 Conference Chair (Assoc. Prof. Dr. Gökmen Zararsız)
> Talk by EMR-IBS President (Prof. Dr. Konstantinos Fokianos)
> Talk by TÜBİTAK President (Prof. Dr. Hasan Mandal)
> Recital of Turkish Music
BALO SALONU 09:30 - 10:15 KEYNOTE LECTURE
Chair: Karen Kafadar
BIOCONDUCTOR: Evolving an open source ecosystem for genomic data science
BALO SALONU 10:15 - 10:30 Short Coffee Break
10:30 - 12:00 INVITED SESSION 1: FUNCTIONAL DATA ANALYSIS
Chair: Philip T. Reiss
> Functional data analyses to account for and interpret glucose patterns in continuous glucose monitoring
BALO SALONU > Incorporating shared peptides for improved inference on the proteins' abundance based on mass spectrometry data
BALO SALONU > Functional additive models for shapes and forms of plane curves
BALO SALONU CONTRIBUTED SESSION 1: MULTIVARIATE STATISTICS
Co-Chairs: Daniel Yekutieli and Özlem İlk Dağ
> Estimation of average causal effect in clustered data with covariate measurement error
NAMIK SEVIK > The chernoff faces method for visualizing complex data: An application for identifying differences between Covid-19 and control groups
NAMIK SEVIK > Viral load dynamics of Sars-Cov-2 delta and omicron variants following multiple vaccine doses and previous infection
NAMIK SEVIK > Evaluating univariate, multivariate reference interval methods: A comparative analysis
NAMIK SEVIK > Evaluation of objective structured examination tool with classical testing institution, generalizability theory and item response theory
NAMIK SEVIK 12:00 - 12:15 Short Coffee Break
12:15 - 13:00 PLENARY LECTURE
Chair: H. Refik Burgut
Replicability issues in medical research: Science and politics
BALO SALONU 13:00 - 14:00 Lunch
14:00 - 14:45 MARVIN ZELEN MEMORIAL LECTURE
Chair: Urania Dafni
Dynamic evaluation of Covid-19 clinical states by means of multi state models
BALO SALONU 14:45 - 16:15 INVITED SESSION 2: BIOINFORMATICS AND HIGH DIMENSIONAL DATA ANALYSIS
Chair: Vincent Carey
> Removi̇ng unwanted variation from large gene expression data with RUV-III-PRPS
BALO SALONU > Validation of model selection procedures in high-dimensional analysis
BALO SALONU > Rapidly advancing CRISPR systems hold a great potential in research on drug targets
BALO SALONU YOUNG STATISTICIAN SHOWCASE
Chair: Dimitris Karlis
> Modified SHAP method for seasonal vaccination status
NAMIK SEVIK > SimElegans: A Shiny app for GO analysis
NAMIK SEVIK > Real-time detection of the start and subsequent epidemic states of HIV outbreaks
NAMIK SEVIK > Model based clustering for spatial data
NAMIK SEVIK > Multilevel Bayesian network to model child morbidity using Gibbs sampling
NAMIK SEVIK 16:15 - 16:45 Coffee Break
16:45 - 17:30 PLENARY LECTURE
Chair: Hamparsum Bozdoğan
Simulation approach in the design and planning cancer screening trials
BALO SALONU 17:30 - 18:30 ROUND TABLE
Co-Chairs: Geert Molenberghs and David M. Steinberg
The role of statistical experts during the COVID-19 pandemic
BALO SALONU CONTRIBUTED SESSION 2: STATISTICAL MODELING AND COMPUTATIONAL METHODS
Co-Chairs: George Dennis Papandonatos and Ferhan Elmalı
> Replicability across multiple studies
NAMIK SEVIK > Modelling longitudinal cognitive test data with ceiling effects and left skewness
NAMIK SEVIK > Branching modelling of mutations and risk assessment in cancer research
NAMIK SEVIK > Joint spatiotemporal modelling of human immunodeficiency virus and tuberculosis in ethiopia using a Bayesian hierarchical approach
NAMIK SEVIK > Comparing frequentist and Bayesian approaches for mixed design anova in repeated measurements: a simulation study with exponential distributions
NAMIK SEVIK 18:30 - 19:45 POSTER SESSION
BALO SALONU 19:00 - 19:45 EMR BUSINESS MEETING
NAMIK SEVIK 20:00 - 23:00 GALA DINNER (at North Pier's İzmir) (How to Reach?: https://tinyurl.com/yckkh8s3)
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> Day 3: May 10, Wednesday
Time Presentation Room 08:30 - 10:00 INVITED SESSION 3: CLINICAL BIOSTATISTICS AND SURVIVAL ANALYSIS
Chair: David M. Steinberg
> Missing time-dependent covariate values in a Cox model – joint models approach versus combination of multiple imputation and joint models
BALO SALONU > Estimating optimal individualized treatment rules with multistate processes
BALO SALONU > Statistical inference for complex time-to-event data under non-randomized cohorts
BALO SALONU CONTRIBUTED SESSION 3: SURVIVAL ANALYSIS
Co-Chairs: Guadalupe Gómez Melis and Victor Kipnis
> Data-driven simulations for quantitative bias analyses in real-world survival analyses
NAMIK SEVIK > Conditional randomization test for average treatment effect with survival forest
NAMIK SEVIK > Reconstructing survival data from published Kaplan-Meier curves
NAMIK SEVIK > Methodological issues with proportional hazard models
NAMIK SEVIK 10:00 - 10:30 Coffee Break
10:30 - 11:15 PLENARY LECTURE
Chair: Yoav Benjamini
Accounting for overdiagnosis in estimating components of survival time in randomized cancer screening trials
BALO SALONU 11:15 - 12:45 INVITED SESSION 4: RECENT ADVANCES IN BIOSTATISTICS
Chair: Ruth Heller
> Biostatistics and SARS-CoV-2: research, policy advice, and communication
BALO SALONU > In Silico: Simulators and emulators in the European human brain project
BALO SALONU > Incorporating fuzzy logic philosophy in the evaluation of forecasting models
BALO SALONU CONTRIBUTED SESSION 4: GENOMICS AND PROTEOMICS
Co-Chairs: Ramyar Molania and Przemyslaw Biecek
> Stacking based approaches for survival analysis of RNA-sequencing data
NAMIK SEVIK > Robust protein co-expression network for Covid-19
NAMIK SEVIK > Infoget4gene: A user-friendly web app for genetic data analysis using R shiny
NAMIK SEVIK > Parametric bootstrap based simulation on identification of differentially expressed genes: Which one of boruta or elastic net performs better?
NAMIK SEVIK > Determination of intron retention in gastric cancer RNA-sequence data by IRFinder-S bioinformatics algorithm
NAMIK SEVIK 13:00 - 18:00 SOCIAL PROGRAM (Ephesus & Mary's House & Sirince Village)
18:00 - 21:00 SOCIAL PROGRAM DINNER (at Lucien Arkas Vineyards)
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> Day 4: May 11, Thursday
Time Presentation Room 08:30 - 10:00 CONTRIBUTED SESSION 5A: MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE - I
Co-Chairs: Aris Perperoglou and Mustafa Çavuş
> Feature extraction and biomarker analysis for differentiating colon polyps from colonoscopic images
BALO SALONU > WRSmoonRF: Weighted robust sufficient M-out-of-N regression forest
BALO SALONU > Optimizing number of hidden layer and hyper-parameters of deep neural network by Bayesian optimization
BALO SALONU > Automated machine learning approach in clinical settings: Predicting the future risks
BALO SALONU > A comprehensive comparison of low density lipoprotein cholesterol equations
BALO SALONU CONTRIBUTED SESSION 5B: CLUSTERING AND CLASSIFICATION
Co-Chairs: Malgorzarta Bogdan and Osman Dağ
> Bioinformatics and biostatistical models for analysis and prognosis of antimicrobial resistance
NAMIK SEVIK > Deep neural networks for average treatment effect on biological networks
NAMIK SEVIK > Simultaneous scoring of clusters in recursive cluster elimination, applied on transcriptomic data analysis
NAMIK SEVIK > The G-S-M, grouping, scoring and modeling approach. Application of biological domain knowledge for groups selection on gene expression data
NAMIK SEVIK > The effect of missing data imputation methods on classification performance according to different missing rates in high dimensional data
NAMIK SEVIK 10:00 - 10:30 Coffee Break
10:30 - 11:15 PLENARY LECTURE
Chair: KyungMann Kim
20 years of statistical bioinformatics: a brief history of the limma and edgeR packages
BALO SALONU 11:15 - 12:45 INVITED SESSION 5: BRAIN IMAGING METHODS
Chair: R. Todd Ogden
> Nonparametric functional data modeling of pharmacokinetic processes with applications in dynamic pet imaging
BALO SALONU > Investigating directional causality in multichannel brain signals: Threshold autoregressive modeling based approach
BALO SALONU > How reliable is resting-state functional connectivity?
BALO SALONU CONTRIBUTED SESSION 6: MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE - II
Co-Chairs: Gökmen Zararsız and Necla Koçhan
> Health space model using deep learning
NAMIK SEVIK > How to explain carbohydrate metabolism disorders using machine learning models?
NAMIK SEVIK > Abnormality detection and classification on mammography images via convolutional neural networks
NAMIK SEVIK > Estimating the cost of Covid-19 to Turkish tourism with time series and machine learning models
NAMIK SEVIK > Assessing prediction accuracy of joint models: A novel approach based on mutual information criterion
NAMIK SEVIK 12:45 - 13:45 Lunch
13:45 - 14:30 PLENARY LECTURE
Chair: A. Ergun Karaağaoğlu
Towards reliable empirical evidence in methodological biostatistical research: recent developments and remaining challenges
BALO SALONU 14:30 - 16:15 INVITED SESSION 6: MACHINE-LEARNING AND COMPUTER SCIENCE
Chair: Taesung Park
> Enhancing clinical trial power through covariate adjustment models: An investigation of methods, claims and realistic expectations
BALO SALONU > Cardiac classification using machine learning models with information complexity
BALO SALONU > Bringing group sparsity to Bayesian hierarchical models: Multivariate Bernoulli distribution is here to help
BALO SALONU 13:45 - 16:15 CONTRIBUTED SESSION 7: CLINICAL TRIALS AND DIAGNOSTIC TESTS
Co-Chairs: Aylin Alın and Sevilay Karahan
> Practical considerations for statistical models and their implementations of phase I dose-escalation oncology trials
NAMIK SEVIK > A review on randomized controlled trials in emergency medicine: Methodological issues
NAMIK SEVIK > Nonparametric estimation of distribution function using ranked set sampling with unequal probabilities
NAMIK SEVIK > Public health-focused use of Covid-19 rapid antigen PCR tests
NAMIK SEVIK > Diabetic retinopathy diagnosis and classification
NAMIK SEVIK > A new estimator for the discrimination accuracy in a four-class classification problem
NAMIK SEVIK 16:15 - 16:30 Coffee Break
16:30 - 17:30 CLOSING REMARKS & AWARD CEREMONY
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> Poster Session (Day 2, at BALO SALONU)
ID Title PP1 Fast and approximate inference of multilevel threshold autoregressive model for intensive longitudinal data via mean field variational bayes
PP2 Artificial intelligence-based morphology analysis system for brain organoids
PP3 Transcriptomic profiling of induced pluripotent stem cell derived lacrimal organoids
PP4 Predicta: quick and accurate triage tool
PP5 Modified clinical kernel using a Cox model
PP6 Net benefit in clinical decision making process
PP7 Estimation of low-density lipoprotein cholesterol using machine learning models
PP8 Evaluation of survival tree random survival forest and Cox proportional hazard models
PP9 Alzheimer disease classification with machine learning method
PP10 A comprehensive R Shiny web tool that combines two continuous diagnostic tests
PP11 A circular heatmap visualization approach for interlaboratory comparisons in ring studies
PP12 A meta-analysis study for diagnosing skin cancer with machine learning techniques
PP13 Establishing continuous reference intervals for thyroid function tests
PP14 Review: access ccontrol in electronic medical records (EMR)
PP15 On Performances of Different Correlation Coefficients