Presentations

Below you will find the slides of almost all oral presenations. PowerPoint files have been batch converted to pdf files, which may have resulted in some inconsistencies.

We thank all speakers that have made their slides available.

Monday August 24

Session K01 President's invited speaker 09:30-10:30

K01.1 - Robert Hemmings - Evolutions to support the next era of medicines’ development

Session I01 Innovative trial design 11:00-12:30

I01.1 - Gerard van Breukelen - Efficient design of trials with clustered data: how to deal with unknown and possibly heterogeneous variance parameters in the design stage?
I01.2 - Dominic Magirr - Fixed and adaptive clinical trial designs with threshold selection for a continuous biomarker
I01.3 - Maryam Safarkhani - Optimal design for discrete-time event history data

Session C01 Big data 11:00-12:30

C01.1 - Irene Rebollo-Mesa - Addressing drug confounding in gene-expression biomarkers of tolerance in kidney transplantation.
C01.2 - Jörg Rahnenführer - Automatic model selection with MBO: A bridge between high-dimensional survival analysis end efficient model optimization
C01.3 - Mark van de Wiel - Better prediction by use of co-data: Adaptive group-regularized ridge regression
C01.4 - Henk-Jan van den Ham - Detecting differentially expressed peptides in LC-MS/MS data
C01.5 - Victor L. Jong - Determining an optimal probabilistic classifier for genomic data

Session C02 Miscellaneous topics 11:00-12:30

C02.1 - Nicole Heussen - Strategies for dealing with missing data in randomization tests
C02.2 - Panteha Hayati Rezvan - Sensitivity analysis within the multiple imputation framework: Evaluation of the weighting approach and the pattern-mixture method
C02.3 - Menelaos Pavlou - Use of Bayesian shrinkage for risk prediction in clustered data with few events
C02.4 - Angela Wood - Landmarking and dynamic risk prediction: application to Electronic Health Records in England
C02.5 - Artur Araujo - Understanding variation in n-of-1 trials

Session C03 Survival analysis 11:00-12:30

C03.1 - Natalia Becker - Efficient sampling strategies for time to event prediction models based on high-dimensional omics data
C03.2 - Luise Cederkvist - Application of the liability-threshold model to case-control-family studies: Sampling of controls
C03.3 - Edmund Jones - How to analyze stratified and multi-centre case-cohort studies
C03.4 - Yujie Zhong - Analysis of Censored Family Data from Response-Biased Samples via Augmented Composite Likelihood
C03.5 - Maja von Cube - A case-cohort approach for extended illness-death models in hospital epidemiology

Session C04 Unbiased reporting, integrity and ethics 11:00-12:30

C04.1 - Julia Perera-Bel - Genoperspective: Reporting Genomic High-Throughput Data in Clinical Routine
C04.2 - Peggy Sekula - Reporting of prognostic tumour markers studies after the introduction of the REMARK guideline needs improvement
C04.3 - Rema Raman - A Risk Based Monitoring Approach to improve data quality in Alzheimer’s Disease Clinical Trials
C04.4 - Harbajan Chadha-Boreham - Application of the TRIPOD statement to assess the reporting of diagnostic and prognostic studies in the CHEST medical journal

Session C05 Meta analysis 11:00-12:30

C05.1 - Gerta Rücker - Using full information on cut-offs per study allows to determine an optimal cut-off in diagnostic test accuracy reviews
C05.2 - Pablo Emilio Verde - Comparing diagnostic test in meta-analysis: a hierarchical meta- regression approach
C05.3 - Danielle Burke - The impact of the prior distribution for the between-study correlation in a Bayesian bivariate meta-analysis of two correlated outcomes
C05.4 - Sylwia Bujkiewicz - Bivariate network meta-analysis for predicting treatment effect from surrogate endpoints
C05.5 - Harald Binder - Tackling heterogeneity parameter uncertainty in Bayesian network meta-analysis

Session C06 Latent variables 11:00-12:30

C06.2 - Salma Ayis - Heterogeneity of Patients and the Natural History of Depression after Stroke
C06.3 - Depeng Jiang - Latent Growth Model for Program Evaluation with Semi-continuous Longitudinal Outcomes in Randomized Clinical Trial
C06.4 - Kashif Shafique - First day repeated C-reactive protein measurements and risk of mortality among acute poisoning patients: a latent class analysis

Session I02 Statistical methodology for clinical research in rare diseases 14:00-15:30

I02.1 - Ralph-Dieter Hilgers - New developments in integrated design and analysis of small population group trials
I02.2 - Nigel Stallard - Recent advances in methodology for clinical trials in small populations: the InSPiRe project
I02.3 - Kit Roes - Advances in Small Trials dEsign for Regulatory Innovation and eXcellence

Session C07 Innovative trial design 14:00-15:30

C07.1 - Donald Taves - Testing Undocumented Beliefs About Randomization and Minimization
C07.2 - Brennan Kahan - A novel re-randomisation design for clinical trials
C07.3 - Toshiro Tango - Repeated Measures Designs Based on Generalized Linear Mixed-Effects Models
C07.4 - Marion Dawn - Teare A crossover trial design with crossed repeated measures and a binary outcome
C07.5 - Jixian Wang - Treatment evaluation and select: n of 1 trials with dynamic treatment regimes

Session C08 Innovative trial design 14:00-15:30

C08.1 - An Vandebosch - Innovative trial design: illustration of modeling and simulation and adaptive decision rules in an Ebola Vaccine phase 3 trial
C08.2 - Christopher Weir - Surrogate evaluation for ordinal outcomes: an information theory approach
C08.4 - Li-Xuan Qin - How Much Can Blocking and Randomization Improve Molecular Biomarker Discovery?
C08.5 - David Robertson - Correcting for selection bias in two-stage trials with multiple correlated outcomes: application to adaptive clinical trials & genome scans

Session C09 Survival analysis 14:00-15:30

C09.1 - Tobias Bluhmki - Confidence bands for Nelson-Aalen estimates in a multistate model: the wild bootstrap approach with application in health services research
C09.2 - Mark Clements - Reconstruction of population-level smoking behaviour using a purged Markov model
C09.3 - Ruth Keogh - Multiple imputation in Cox regression when there are time-varying effects of exposures
C09.4 - Hein Putter - Dynamic frailty processes based on compound birth-death processes

Session C10 Causal modeling 14:00-15:30

C10.1 - Jessica Kasza - Marginal structural models for clustered data: the positivity and no unmeasured confounding assumptions
C10.2 - Audrey Winter - A prognostic score of futility for early mortality in liver transplantation in cirrhotic patients
C10.3 - C Marijn Hazelbag - An application of inverse probability weighting estimation of marginal structural models of a continuous exposure
C10.4 - Rebecca Burne - Martingale Residual-based Methods for using Validation Subsamples to adjust for Time-Dependent Unmeasured Confounders in Survival Analysis
C10.5 - Susanne Strohmaier - A simple to implement algorithm for natural direct and indirect effects in survival studies with a repeatedly measured mediator

Session C11 Statistics in practice 14:00-15:30

C11.1 - Werner Vach - Analyzing noninferiority trials: it is time for advantage-deficit assessment
C11.3 - Milada Småstuen Cvancarova - Statistical challenges when analysis very large health survey using questionnaires
C11.4 - Giske Lagerweij - Adequate comparison of risk prediction models requires full analysis of composite and separate endpoints
C11.5 - Caroline Brard - Bayesian survival analysis in clinical trials: What methods are used in practice? A systematic review of the literature

Session C12 Predictive modeling 14:00-15:30

C12.1 - Leonidas Bantis - Comparison of Two Correlated ROC Curves at a Given Specificity Level
C12.2 - Kym Snell - Examining prediction model performance across multiple studies: which scale is best for meta-analysis of the C-statistic and other measures?
C12.3 - Simone Wahl - Assessing predictive performance in multiply imputed data using resampling strategies
C12.4 - Laure Wynants - Evaluating the clinical utility of prediction models in a multicenter population using decision-analytic measures

Session I03 Subgroup analyses 16:00-17:30

I03.1 - Matthias Briel - Believe it or not – empirical research on credibility criteria for subgroup analyses
I03.2 - Armin Koch - The role of subgroups in confirmatory clinical trials for drug licensing
I03.3 - Frank Bretz - Sample size calculations for confirmatory subgroup analyses

Session C13 Statistical methodology for clinical research in rare diseases Chair 16:00-17:30

C13.1 - Stephen Senn - Baselines as possible controls in trials in small populations
C13.2 - Diane Uschner - The effect of selection bias on the test decision of the randomization test in small population group trials
C13.3 - Maarten van Smeden - Small Sample Bias and Events Per Variable Criteria for Binary Logistic Regression Analyses
C13.4 - David Schindler - Desirability of restricted randomization procedures in small population group trials in case of selection and chronological bias
C13.5 - Kathrin Möllenhoff - Efficient tests for the similarity of dose response curves using a bootstrap approach in regard to small sample sizes

Session C14 Innovative trial design 16:00-17:30

C14.1 - Timo Brakenhoff - On adapting the sample size in a Bayesian clinical trial in small populations
C14.2 - Hsiao Yin Liu - Group sequential monitoring of optimal response-adaptive randomised multi-armed clinical trials
C14.3 - Amy Spencer - An adaptive design for updating the threshold value of a continuous biomarker
C14.4 - Rene Schmidt - On adaptive designs with dependent stages based on Fisher’s combination test
C14.5 - Cornelia Ursula Kunz - Blinded versus unblinded estimation of the correlation coefficient in adaptive designs with long-term and short-term outcomes

Session C15 Non-parametric methods Chair 16:00-17:30

C15.1 - Marie Böhnstedt - Smoothly mixed recurrent-event rates and the penalized composite link model
C15.2 - Vineet Kumar Kamal - A Comparison of Logistic Regression, CART, and Artificial Neural Network for Predicting Outcomes in Traumatic Brain Injury Patients
C15.3 - Nakamura Masatoshi - TREES GARROTE for Regression Analysis
C15.4 - Anna Maria Paganoni - Robust classification of multivariate functional data
C15.5 - Anneleen Verhasselt - Varying coefficient models with censored data using P-splines

Session C16 High dimensional data 16:00-17:30

C16.1 - Alysha De Livera - Statistical methods for handling unobserved interfering variation in the biological laboratory measurements in large-scale cohort studies
C16.2 - Viktorian Miok - Empirical Bayes integrative significance analysis of temporal differential gene expression induced by genomic abnormalities
C16.3 - Putri Wikie Novianti - Meta-analysis approach as a gene selection method in class prediction: Does it improve model performance?
C16.4 - Willi Sauerbrei - High-dimensional survival data - influence of multivariable model building on the assessment of time-dependent effects
C16.5 - Dennis te Beest - Testing the additional predictive value of correlated sets of covariates

Session C17 Missing values 16:00-17:30

C17.1 - Nicole Erler - Multiple imputation for incomplete time-dependent predictors and complex outcomes: MICE vs. sequential Bayesian imputation
C17.2 - Jacques-Emmanuel Galimard - Imputation of binary or continuous missing variables due to MNAR Mechanisms using selection models and one-step full information estimator
C17.3 - Matteo Quartagno - Joint Modelling Multiple Imputation in presence of categorical data
C17.4 - Shaun Seaman - Handling Missing Data in Matched Case-Control Studies using Multiple Imputation
C17.5 - Panteha Hayati Rezvan - A review of the reporting and implementation of multiple imputation in medical research

Session C18 Joint modeling 16:00-17:30

C18.1 - Payam Amini - Jointly Modeling Continuous and Binary Longitudinal Outcomes – An Application on Inhalation Aromatherapy Data
C18.2 - Eleni-Rosalina Andrinopoulou - Bayesian Variable Selection with Joint Modeling of Longitudinal and Survival Outcomes Assuming Different Association Structures
C18.3 - Michel Hof - A joint model for record linkage problems
C18.4 - Sung Won Kim - Joint modelling approaches to investigate radiotherapy-related side effects in patients with head and neck cancer

Tuesday August 25

Session I04 High dimensional data 09:00 - 10:30

I04.1 - Jeanine J. Houwing-Duistermaat - Statistical methods to analyze repeated measurements of overdispersed categorical data: an application in longitudinal microbiome data
I04.2 - Luigi Buttigieg - Navigating the multidimensional space of microbial data in the meta’omic era
I04.3 - Leo M. Lahti - Temporal dynamics and population diversity of the human intestinal ecosystem
I04.4 - Yalcin Yavuz - Challenges in microbiota community profiling analysis

Session C19 Innovative trial design Chair 09:00 - 10:30

C19.1 - Eleni Frangou - Practical considerations in designing a phase I Time to Event Continual Reassessment Method (TiTE CRM) trial in a grant funded CTU
C19.2 - Matthew Schipper - A statistical evaluation of the design and analysis of dose expansion cohorts in Phase I trials
C19.3 - Wai Yin Winnie Yeung - Dual-objective Bayesian adaptive dose-escalation procedures utilizing a gain function with binary and continuous responses
C19.4 - Rik van Eekelen - Simultaneous sequential monitoring of efficacy and safety leads to masking of effects: a simulation study
C19.5 - Jen-Pei Liu - Statistical Evaluation of Interchangeability for Biosimilar Drug Products

Session C20 Statistical methodology for clinical research in rare diseases Chair 09:00 - 10:30

C20.1 - Lisa Hampson - Extrapolation of efficacy and other data to support the development of new medicines: a systematic review of methods
C20.2 - Steffen Ballerstedt - Supporting a pediatric investigational plan using extrapolation from adults
C20.3 - Moreno Ursino - Incorporating pharmacokinetic information in phase I studies in small populations
C20.4 - Herbert Hoijtink - Using Informative Hypotheses to Evaluate a N=1 Study
C20.5 - Leonardo Cordeiro - Designing a clinical diagnostic model with evolutionary algorithms for a rare genetic disease

Session C21 Survival analysis 09:00 - 10:30

C21.1 - Elja Arjas - Non-parametric Bayesian Hazard Regression for Chronic Disease Risk Assessment
C21.2 - Xing-Rong Liu - Penalised link-based survival models
C21.3 - Ulrike Pötschger - Baseline covariate adjustment when assessing the effect of a time-dependent intervention on survival based on generalised pseudo-values
C21.4 - Lillian Yau - The application of flowgraph models to the analysis of need-based treatments

Session C22 Statistics in practice 09:00 - 10:30

C22.1 - Thomas Sullivan - Evaluation of multiple imputation approaches for handling missing outcome data
C22.2 - David Petroff - Baseline observation carried forward (BOCF): inherent problems and an alternative
C22.3 - Noriko Tanaka - Adjustments for outcome misclassification in multinomial logistic regression: application to a cause specific mortality data
C22.4 - Clémence Leyrat - Comparison of CACE analysis strategies in cluster randomised trials with non-compliance
C22.5 - Masako Nishikawa - Primary effectiveness analysis when longitudinal data may not be followed completely

Session C23 Mixed models Chair 09:00 - 10:30

C23.1 - Lesley-Anne Carter - Examining variation in 3 level data: Applications to intensive longitudinal data
C23.2 - Marie-Karelle Riviere - Evaluation of the fisher information matrix without linearization, in nonlinear mixed effect models for discrete and continuous outcomes
C23.3 - Shafquat Rozi - Determinants of Health Seeking Behavior in Pakistan: A Complex Health Survey Design
C23.4 - Neil Wright - Within-cluster and contextual covariate effects in the analysis of cluster randomised trials using linear mixed effects models
C23.5 - Mirjam Moerbeek - Statistical power analysis of trials with multilevel data

Session C24 Subgroup analysis 09:00 - 10:30

C24.1 - Philip Boonstra - Leveraging historical data for improved estimates of treatment- biomarker interactions
C24.2 - Cornelia Ursula Kunz - A novel analysis method for the biomarker-strategy design
C24.3 - Yu-Ming Shen - Graphical presentation of patient-treatment interaction elucidated by continuous biomarker: current practice & scope for improvement
C24.4 - Hong Sun - Comparing a marker based stratified treatment strategy with the standard treatment in a randomized clinical trial
C24.5 - Knut Wittkowski - Finding the missing heritability in GWAS: u-statistics of genetically structured data in subgroup analyses of epilepsy, autism and migraines

Session I05 Dynamic prediction in oncology 11:00-12:30

I05.1 - Dimitris Rizopoulos - Personalized screening intervals for biomarkers using joint models for longitudinal and survival data
I05.2 - Hein Putter - Pseudo-observations, landmarking and dynamic prediction
I05.3 - Jeremy Taylor - A dynamic prediction model for colon cancer surveillance data

Session C25 Innovative trial design 11:00-12:30

C25.1 - Shogo Nomura - Comparison of several approaches to adjust overall survival (OS) for extensive crossovers in placebo-controlled randomized phase 3 trials
C25.2 - Harriet Sommer - The cure-death-model – A new approach for a randomised clinical trial design to tackle antimicrobial resistance
C25.3 - Lisa Yelland - Sample size calculations for randomised trials including a mixture of independent and paired data
C25.4 - Duncan Wilson - Phase II trial designs for complex interventions: A single-arm single-stage design for clustered continuous outcomes
C25.5 - Olympia Papachristofi - The human factor in complex surgical interventions: assessing the impact of surgeon learning curves

Session C26 Statistical methodology for clinical research in rare diseases 11:00-12:30

C26.1 - Siew Wan Hee - A review on decision theoretic designs for small trials and pilot studies
C26.2 - Nigel Stallard - Determination of the optimal sample size for a clinical trial allowing for the population size
C26.3 - Loukia Spineli - Critical appraisal of designs proposed as alternative to the parallel group randomized controlled design in the field of rare diseases
C26.4 - Paméla EL Hajj - Efficient Designs and statistical methods for clinical trials in rare diseases
C26.5 - Robin Ristl - Fallback tests for co-primary endpoints

Session C27 Causal modeling Chair 11:00-12:30

C27.1 - Ingeborg Waernbaum - Causal questions and principled answers: a guide through the landscape of the practising statistician
C27.3 - Stephen Burgess - Instrumental variable analysis with a nonlinear exposure-outcome relationship
C27.4 - Mohammad Alam - Misspecification Effect in Bootstrap Variance Estimation for Estimators of the Population Mean
C27.5 - Aniek Sies - Comparing four methods for estimating tree-based treatment regimes

Session C28 Statistics in practice 11:00-12:30

C28.1 - Wei-Chu Chie - Minimal clinically important differences of the EORTC QLQ-C30 and HCC18 for patients with hepatocellular carcinoma
C28.2 - Ronald Gangnon - Incorporating Effects of Mammography Screening and Postmenopausal Hormone Use into Flexible Age-Cohort Models for Breast Cancer Incidence
C28.3 - Marion Savina - Surrogate properties of survival endpoints in metastatic soft-tissue sarcoma: a meta-analysis
C28.4 - Hayley E Jones - A multi-parameter evidence synthesis approach to estimating the prevalence of illicit opiate use
C28.5 - Jiaxu Zeng - A quasi-binomial approach for modelling periodontal data

Session C29 Meta analysis 11:00-12:30

C29.1 - Dankmar Boehning - Statistical Methods for Meta-Analysis of Rare Event Trials
C29.2 - Joanna IntHout - Are small studies more heterogeneous than large ones? A meta-meta-analysis
C29.3 - Fotios Siannis - Non-parametric methods for meta-analysis of time to event data
C29.4 - Christopher Partlett - The consequences of ignoring asymmetry in the random effects of meta-analyses
C29.5 - Thomas Debray - Statistical models for network meta-analysis: an empirical comparison

Session C30 Joint modeling 11:00-12:30

C30.1 - Payam Amini - Longitudinal Joint Modeling of Count and Continuous Responses Using Generalized Linear Mixed-Effect Models for Migraine attacks data
C30.2 - Solène Desmée - Joint modelling of nonlinear longitudinal and survival data: simulation study and application in metastatic prostate cancer
C30.3 - Alhassane Diallo - Joint modeling of Spinocerebellar Ataxia data: a comparison between shared random-effects and latent class model
C30.4 - Loïc Ferrer - Score test for residual correlation between multiple events in the joint modelling framework for longitudinal and multi-state data
C30.5 - Ines Sousa - Joint modelling of longitudinal and time-to-event data subject to left truncation

Wednesday August 26

Session I06 STRengthening Analytical Thinking for Observational Studies (STRATOS) 09:00 - 11:00

I06.1 - Katherine Lee - Regression modelling with missing data: principles, methods, software and examples
I06.2 - Stephen Evans - The STRATOS initiative: study design
I06.3 - Aris Perperoglou - Multivariable regression modelling using splines. A review of available packages in R
I06.4 - Terry Therneau - The STRATOS survival task group

Session C31 Stepped Wedge and Cluster randomized trials 09:00 - 10:48

C31.1 - Karla Hemming - Setting straight the sample size determination for stepped wedge and cluster randomised trials
C31.2 - Esther de Hoop - How to estimate the required sample size for cohort and cross-sectional cluster randomized stepped wedge trials with continuous outcome
C31.3 - Rumana Omar - Sample size calculation for Stepped Wedge Trials
C31.4 - Zhuozhao Zhan - The analysis of terminal endpoint event in the stepped wedge design
C31.5 - Abu Manju - SamP2CeT: An interactive computer program for sample size and power calculation for two-level cost-effectiveness trials

Session C32 Big data 09:00 - 10:48

C32.1 - Michael Andreae - Posterior exploration and predictive checking for Bayesian hierarchical models via interactive graphical analysis
C32.2 - Andrea Foulkes - Class-level testing of genetic association
C32.3 - Angelika Geroldinger - Estimation of prevalence of chronic kidney disease among diabetic patients in Austria
C32.4 - Matthew Gittins - Modelling delayed mortality risk associated with potentially non-linear air pollution effects across a 30 day exposure period
C32.5 - Monika Jelizarow - Testing sets of SNPs for association with a phenotype: a comparison of ‘SKAT’ and ‘global test’ in theory and practice
C32.6 - Mats Stensrud - Association mapping of variants that locally influence recombination rate using data for 30,000 African American individuals

Session C33 Dynamic prediction in oncology 09:00 - 10:48

C33.1 - Inna Chervoneva - Modeling qRT-PCR dynamics with application to cancer biomarker quantification
C33.2 - Martin Schumacher - Conditional survival: a starting point to identify factors related to long-term survival
C33.3 - Selen Yilmaz Isikhan - Adaptation of an ensemble of complementary neural networks with adjusted average error to other prediction models
C33.4 - Daniela Zöller - Simultaneous variable selection between dynamic prediction models based on pseudo-values
C33.5 - Agnieszka Krol - Joint Model for Left-Censored Longitudinal Data, Recurrent Events and Terminal Event in Oncology: Predictive Abilities of Tumor Burden

Session C34 Inference in infectious disease epidemics 09:00 - 10:48

C34.1 - Francesco Brizzi - Estimating age specific HIV incidence using back-calculation
C34.2 - Hester Korthals Altes - The impact of immigration on tuberculosis rates in first-generation immigrants in the Netherlands: a time-series analysis
C34.3 - Don Klinkenberg - Modelling the decrease in measles incidence during Dutch school holidays: separation of reduced transmission and reporting
C34.4 - Loumpiana Koulai - Estimating HIV seroconversion time using biomarkers of recent infection
C34.5 - Nicole Mealing - A review of the statistical methods used to evaluate the impact of vaccination programs on disease burden

Session C35 Meta analysis Chair 09:00 - 10:48

C35.1 - David Jenkins - Evaluation of Methods for the Inclusion of Real World Evidence (RWE) in Network Meta-Analyses (NMA) – A Case Study in Multiple Sclerosis (MS)
C35.2 - Adriani Nikolakopoulou - Prospective use of network meta-analysis using formal statistical monitoring
C35.3 - Richard Riley - Borrowing of strength and study weights in multivariate and network meta-analysis
C35.4 - Anna Chaimani - Investigating the impact of treatments with scarce evidence in network meta-analysis
C35.5 - Reynaldo Martina - The inclusion of real world evidence (RWE) in clinical development planning
C35.6 - Kazue Yamaoka - An application of the multivariate NMA on the effect of lifestyle and metformin for delaying or preventing T2DM within a Bayesian framework

Session C36 Latent variables 09:00 - 10:48

C36.1 - Ilmari Antti Ahonen - Flexible Finite Mixture Regression
C36.2 - Mathieu Bastard - Using latent class analysis to build a clinical score for diagnosis of Buruli Ulcer in Akonolinga, Cameroon
C36.3 - Sabine Hoffmann - A Bayesian structural approach to account for uncertainty in exposure assessment in the French cohort of uranium miners
C36.4 - Stephen Walter - Use of latent class models to assess the impact of imperfect determination of study outcomes in a randomised trial

Session I07 Statistics for pharmacoepidemiology 14:00-15:30

I07.1 - Michal Abrahamowicz - Flexible modelling of cumulative effects of time-varying treatments in longitudinal studies
I07.2 - Tjeerd van Staa - Randomised trials using routine electronic health records
I07.3 - Stephen Evans - Statistical challenges in pharmacoepidemiology

Session I08 Unbiased reporting, integrity 14:00-15:30

I08.1 - Doug Altman - Complete and accurate reporting of research – an ethical imperative
I08.2 - Patrick Bossuyt - Transparency and “spin” in reporting studies of the diagnostic accuracy of medical tests
I08.3 - Lisa McShane - Reproducibility of omics research: responsibilities and consequences

Session C37 Stepped Wedge and Cluster randomized trials 14:00-15:30

C37.1 - Andrew Forbes - Optimal allocation in stepped wedge designs
C37.2 - Michael Grayling - Optimally designed stepped wedge cluster randomised trials with early stopping for futility
C37.3 - Sarah Arnup - Cluster randomised crossover trials rarely use statistical methods that account for the design: A systematic review
C37.4 - Steven Teerenstra - Stepped-wedge like designs to compare active implementation strategies with natural development in absence of active implementation
C37.5 - Diana Trutschel - Impacts on effect estimation within a stepped wedge design in health care research: A computer simulation experiment in R

Session C38 Statistical methodology for clinical research in rare diseases 14:00-15:30

C38.1 - Christian Röver - Meta-analysis of few small studies in small populations and rare diseases
C38.2 - Ingeborg van der Tweel - Strategies for dealing with heterogeneity between studies in rare diseases
C38.3 - Soheila Aghlmandi - Choice of prior distributions in rare-events meta-analysis
C38.4 - Charlotte Gaasterland - Systematic review of Goal Attainment Scaling as an outcome measure in drug trials

Session C39 Survival analysis 14:00-15:30

C39.1 - Zheng Chen - Statistical inference methods for two crossing survival curves
C39.2 - Ronald Geskus - Requiring two observed events as event definition: consequences for censoring strategy
C39.3 - Jonathan Siegel - Designing survival trials to address delayed effects
C39.4 - Hasinur Khan - Stability Selection for Lasso, Ridge and Elastic Net Implemented with AFT Models

Session C40 Statistics in practice Chair 14:00-15:30

C40.1 - Seth David - Seegobin Baseline analysis strategies – a simulation study of power for repeated measures with correlation
C40.2 - Andrew Simpkin - Estimating features of repeated measures trajectories
C40.3 - Zhi Zhao - Classification of Multivariate Time Series with Extracted Nonparametric Features to Diagnose ECG/EEG signals
C40.4 - Aleksander J. Owczarek - ARMA models in prediction of mortality due to traffic accident in selected European countries
C40.5 - Tarylee Reddy - A novel approach to estimation of the time to biomarker threshold: Applications to HIV

Session C41 Miscellaneous topics 14:00-15:30

C41.1 - Grant Weller - Leveraging electronic health records for predictive modeling of post-surgical complications
C41.2 - Hulya Yilmaz - Is nonparametric bootstrap an appropriate technique for estimating variance of sample median?
C41.3 - Erik van Zwet - Identifiability of the logistic model
C41.4 - Hyang Kim - Impact of biosimilarity predetermined margin on interchangeability
C41.5 - Felix Almendru Arao - A Non-inferiority Test for Independent Dichotomous Variables Using a Shrinkage Proportion Estimator

Session C42 Subgroup analysis 14:00-15:30

C42.1 - Gerd Rosenkranz - Subgroup analysis of clinical trials
C42.2 - Julien Tanniou - Estimation of significant subgroup treatment effect in overall non-significant trials: to what extent should we believe in them
C42.3 - Thomas Ondra - A Decision Theoretic Approach to Subgroup Selection
C42.4 - Arne Ring - Assessment of consistency of treatment effects in subgroup analyses

Session I09 Inference in infectious disease epidemics 16:00-17:30

I09.1 - Philippe Lemey - Inferring spatial evolutionary processes from viral genetic data
I09.2 - Leonhard Held - Combining social contact data with time series models for infectious diseases
I09.3 - Michael Höhle - Spatio-temporal epidemic models of communicable diseases

Session C43 Innovative trial design 16:00-17:30

C43.1 - Tina van der Horst - Adaptive seamless phase II/III study in gastric cancer
C43.2 - James Wason - Improving inference in seamless phase I/II oncology trials using continuous tumour measurements
C43.3 - Cornelia Ursula Kunz - Two-stage phase II oncology designs using short-term endpoints for early stopping
C43.4 - Nabil Awan - Efficient estimation in two-stage randomized clinical trials using ranked set sampling
C43.5 - Corine Baayen - A simple adaptive dose-finding design based on multiple endpoints

Session C44 Survival analysis 16:00-17:30

C44.1 - Mohammed Hudda - Comparison of predictive performance of survival models with age or study duration as the timescale: Application to EPIC-CVD
C44.2 - Adina Najwa Kamarudin - Time-dependent ROC analysis for censored event-time data: Review
C44.3 - Jammbe Musoro - Dynamic prediction of recurrent event data by landmarking with application to a follow-up study of patients after kidney transplant
C44.4 - Maud Tournoud - A strategy to build and validate a prognostic biomarker model based on RT-qPCR gene expression and clinical covariates
C44.5 - David van Klaveren - A new concordance measure for a competing risk regression model with proportional subdistribution hazard

Session C45 Statistics for pharmacoepidemiology 16:00-17:30

C45.1 - Elizabeth McKinnon - Multi-allelic risk modelling in drug hypersensitivity studies
C45.2 - Sam Doerken - The case-crossover design via penalized regression: an application to a study on severe cutaneous adverse reactions
C45.3 - Ismaïl Ahmed - Use of Stability Selection for signal detection in pharmacovigilance
C45.4 - Yishu Wang - Assessing and correcting for the impact of exposure measurement errors in time-to-event analyses of adverse effects of medications

Session C46 Statistics in practice 16:00-17:30

C46.1 - Shaun Richard Barber - Utilising the Chain Event Graph method to produce a risk score: evaluating the discrimination in detecting a binary diabetes outcome
C46.2 - Dimitris Evangelopoulos - GEE vs Mixed models for neighborhood clustered data. An example associating ozone exposure with cough
C46.3 - Kirsten Frederiksen - An illness death model to estimate prevalence: application to population at risk calculations adjusting for hysterectomy
C46.4 - Odile Sauzet - New software implementing the distributional method for the dischotomisation of continuous outcomes

Session C47 High dimensional data 16:00-17:30

C47.1 - Susan Bryan - Prediction of glaucoma progression by using a high-dimensional two-stage Bayesian hierarchical model
C47.2 - Andrea Callegaro - Testing interaction between treatment and high-dimensional covariates in randomized clinical trials
C47.3 - Paul Eilers - The low-down on very low p-values

Session C48 Mixed models 16:00-17:30

C48.1 - Hendriek Boshuizen - Calculating the population attributable fraction from clustered data
C48.2 - Livia Pierotti - Statistical process control charts for quality improvement
C48.3 - Sophie Vanbelle - Modeling agreement on categorical scales in the presence of random observers
C48.4 - Denitsa Grigorova - Correlated probit analysis of two longitudinal ordinal outcomes. The EMcorrProbit R package

Thursday August 27

Session I10 Dynamic treatment regimes 09:00-10:30

I10.1 - Bibhas Chakraborty - Q-learning Residual Analysis with Application to A Schizophrenia Clinical Trial
I10.2 - Vanessa Didelez - Lessons from Simulations of Marginal Models for Dynamic Treatments with Survival Outcomes
I10.3 - Susanne Rosthøj - Formulation and estimation of dosing strategies for treatment of children with acute lymphoblastic leukaemia

Session C49 Innovative trial design 09:00 - 10:30

C49.1 - J. Jack Lee - Multi-arm platform designs for screening effective treatments via predictive probability
C49.2 - Stavros Nikolakopoulos - The role of network meta-analysis in the design of future studies
C49.3 - Elizabeth Ryan - Simulation-based fully Bayesian experimental design for mixed effects models
C49.4 - Maxine Bennett - Adding a treatment arm to an ongoing clinical trial - utilizing historical data
C49.5 - Paul Delmar - The combination of randomized and historical controls in clinical trials: Methods to borrow dynamically from historical binomial data

Session C50 Statistical methodology for clinical research in rare diseases 09:00 - 10:30

C50.1 - Bernard G Francq - Delta method and bootstrap in linear models to model and predict rare events and to estimate a proportion when no event is observed
C50.2 - Kristina Weber - How to use prior knowledge and still give new data a chance?
C50.3 - Manjula Schou - Optimal design of clinical trials involving multiple tests with a common control
C50.4 - Michael Campbell - Sample sizes for pilot studies prior to a clinical trial

Session C51 Survival analysis 09:00 - 10:30

C51.1 - Per Andersen - Life years lost among patients with a given disease
C51.2 - Sarah Friedrich - Nonparametric estimation of pregnancy outcome probabilities
C51.3 - Ian James - Analysis of times to threshold based on sequential observations and weighted Cox models
C51.4 - Martin Berg - Johansen Pseudo-observations for interval censored survival data using parametric estimates of the marginal survival function
C51.5 - Margarita Moreno-Betancur - Survival analysis in aging populations with multiple causes of death: Reconsidering the competing risks model

Session C52 Predictive analysis 09:00 - 10:30

C52.1 - Marek Ancukiewicz - Detection of immunogenicity in clinical trials of Biosimilars
C52.2 - Riham El Saeiti - Benefits of using longitudinal data in discriminant analysis
C52.3 - David Michael Hughes - Personalised Longitudinal Discriminant Analysis for Early Detection of Diabetic Retinopathy
C52.4 - Malihe Nasiri - Longitudinal Discriminant Analysis of two correlated markers with same trends and time dependent covariates for predicting the outcome
C52.5 - Shafiqur Rahman - An alternative C-statistic for evaluating the added predictive ability of important risk factors and markers in the logistic regression models

Session C53 Meta analysis 09:00 - 10:30

C53.1 - Tom Michael Palmer - Fitting fixed and random effects meta-analysis models using structural equation models
C53.2 - Ian White - A comparison of methods for meta-analysis of non-linear dose-response relationships using individual participant data
C53.3 - Anna Wiksten - Network meta-analysis combining aggregated and individual patient data
C53.4 - Yusuke Yamaguchi - A bivariate random effects meta-analysis using copulas

Session C54 Subgroup analysis 09:00 - 10:30

C54.1 - Thomas Debray - Methods for Individual Participant Data meta-analysis of relative treatment effects: a methodologic overview
C54.2 - John Hodsoll - Network analysis of neuropsychiatric symptom change for a pharmacological trial for children with learning difficulties and ADHD
C54.3 - Anne-Sophie Stöhlker - Integrative Analysis of Case-Control Data on Multiple Cancer Subtypes

Session K02 Closing Key note 11:00-12:00

K02.1 - Emmanuel Lesaffre - Errors in evaluating errors: Misclassification in clinical studies