Sunday 9, July | Monday 10, July | Tuesday 11, July | Wednesday 12, July | Thursday 13, July


Tuesday 11, July
09.00 10.30  IS6: Joint Modelling in Practice  OC18: Biostatistics for high dimensional data 2

 OC19: Design and analysis of clinical

trials 2

 OC20: Statistical methods in

epidemiology 2

 OC21: Diagnostic tests

 PC4: Topic TBA

10.30 11.00 Coffee break     
11.00 12.30  IS5: Complex Survival Data  OC22: Bayesian methods in clinical research 4  OC23: Statistical methods for precision
medicine 1

 OC24: Design and analysis of clinical

trials 3

 OC25: Survival

analysis 3

 PC5: Topic TBA

12.36 13.30  OC26: STRATOS 2

 OC27: Joint modelling

in practice 2

 OC28: Survival

analysis 2

 OC29: Topics in biostatistics 1  OC30: Methods for handling missing data 2  
13.30 14.30 Lunch break     
14.30   Excursions







 IS6: Joint Modelling in Practice


Organised by Carmen Cadarso, University of Santiago de Compostela, Spain

    Room: TBA


IS6-1 Giampiero Marra, University College London, United Kingdom - Semiparametric Copula-Based Regression Models

IS6-2 Dimitris Rizopoulos, Erasmus University Medical Center, Rotterdam, The Netherlands - Joint Models with Multiple Longitudinal Outcomes and a Time-to-Event

IS6-3 Francisco Gude, University Hospital Complex of Santiago de Compostela, Spain - Joint Modelling Approaches in Diabetes Research



 OC18: Biostatistics for high dimensional data 2

    OC18-1 (09.00-09.18) Wessel Van Wieringen - A tale of two networks
    OC18-2 (09.19-09.36) Hélène Ruffieux - Joint variational inference for genetic association studies with multiple outcomes
    OC18-3 (09.37-09.54) Boris Hejblum - Type I error and false discovery rate control in RNA-seq differential analyses through a variance component score test
    OC18-4 (09.55-10.12) Donghwan Lee - Overall assessment of statistical significance in the presence of selection bias
    OC18-5 (10.12-10.30) Marta Cousido Rocha - Testing the equality of a large number of populations: an application to genome-wide studies

 OC19: Design and analysis of clinical trials 

    OC19-1 (09.00-09.18) Gillian Heller - Beyond mean modelling: bias due to misspecification of dispersion
    OC19-2 (09.19-09.36) Gillian Lancaster - Conceptual framework and development of CONSORT extension guidelines for reporting pilot and feasibility trials
    OC19-3 (09.37-09.54) Ann Christina Foldenauer - Impact of carry-over effects in a classical cohort stepped wedge design under model misspecification
    OC19-4 (09.55-10.12) Jordi Cortés - Mediation analysis in randomized trials: The direction of bias
    OC19-5 (10.12-10.30) Jonathan Bartlett - Covariate adjustment and prediction of mean response in randomised trials

 OC20: Statistical methods in epidemiology 2

    OC20-1 (09.00-09.18) Cathy Tangen  - Accounting for differential detection bias when evaluating race and body mass index association with prostate cancer in a prevention trial
    OC20-2 (09.19-09.36) Tat-Thang Vo - Rethinking meta-analysis: addressing problems of non-collapsibility when combining treatment effects across patient population
    OC20-3 (09.37-09.54) Chen Qu - Modeling of mean-covariance structures in marginal structural models
    OC20-4 (09.55-10.12) Laura Pazzagli - Marginal structural model to evaluate the joint effect of socioeconomic exposures on the risk of developing end-stage renal disease in patients with type 1 diabetes: a longitudinal study based on data from the Swedish Childhood Diabetes Study Group
    OC20-5 (10.12-10.30) Daniela Zöller - Automatic variable selection for exposure-driven propensity score matching with unmeasured confounders and complex correlation structures

 OC21: Diagnostic tests

    OC21-1 (09.00-09.18) Joyce Raymond Punzalan - Binocular sensitivity and specifity of screening tests in cross-sectional diagnostic studies of paired organs
    OC21-2 (09.19-09.36) Laure Wynants - Individual participant data random-effects meta-analysis of the clinical utility of diagnostic tests and prediction models
    OC21-3 (09.37-09.54) Johannes Berkhof - Likelihood ratio tests for non-inferiority of a new screening test in a paired design when the non-diseased population is a mixture
    OC21-4 (09.55-10.12) Hayley Jones - Quantifying how test accuracy depends on threshold in a meta-analysis
    OC21-5 (10.12-10.30) Andriy Bandos - Evaluating diagnostic accuracy in free-response detection-localization tasks using ROC tools

 PC4: Topic TBA



 Coffee break


IS5: Complex Survival Data

    Organised by Ronald Geskus, Academic Medical Center, Amsterdam, the Netherlands
    Room: TBA


IS5-1 Luis Meira-Machado, University of Minho, Portugal - Estimation of the Transition Probabilities in Non-Markov Models: New Contributions and Software Development

IS5-2 Virginie Rondeau, INSERM, France - The Use of Tumor Dynamics and New Lesions to Predict Survival with Multivariate Joint Frailty Models 

IS5-3 Hein Putter, Leiden University Medical Center, The Netherlands - Robustness Properties of the (Landmark) Aalen-Johansen Estimator



 OC22: Bayesian methods in clinical research 4

    OC22-1 (11.00-11.18) Katya Mauff - Weighted pairwise estimation of multivariate longitudinal outcomes in a Bayesian joint modelling framework
    OC22-2 (11.19-11.36) Rachel Heyard - Dynamic Bayesian variable selection for discrete time-to-event data in the presence of competing events
    OC22-3 (11.37-11.54) Masakatsu Onoda - Bayesian dose-finding with adaptive cohort sizes for combination drugs
    OC22-4 (11.55-12.12) Eva-Maria Huessler - Detecting microRNA-mRNA-interactions using a Bayesian hierarchical model
    OC22-5 (12.12-12.30) Sylwia Bujkiewicz - Distributional assumptions in random effects bivariate and network meta-analysis of surrogate endpoints

 OC23: Statistical methods for precision medicine 1

    OC23-1 (11.00-11.18) Annette Kopp-Schneider - Monitoring futility and efficacy in Phase II trials: Criteria for futility and efficacy in interim and final analysis
    OC23-2 (11.19-11.36) Aniek Sies - Estimating the quality of optimal treatment regimes
    OC23-3 (11.37-11.54) Joris Giai - Analyzing multiple endpoints simultaneously in crossover trials using Generalized Pairwise Comparisons and patient-defined thresholds
    OC23-4 (11.55-12.12) Miranta Antoniou - Deciding on the best biomarker-guided trial design: a case study
    OC23-5 (12.12-12.30) Irene Schmidtmann - Subgroups analysis of scoring systems – identifying hard to classify HCC patients

 OC24: Design and analysis of clinical trials 3

    OC24-1 (11.00-11.18) Cornelia Ursula Kunz - Incorporating data from patients with missing biomarker status into biomarker-based trial designs
    OC24-2 (11.19-11.36) Jose Jiménez - Cancer phase I trial design using drug combinations when a fraction of dose limiting toxicities is attributable to one or more agents
    OC24-3 (11.37-11.54) Maxine Bennett - Incorporating historical data into the design and analysis of a clinical trial with normally distributed outcome data
    OC24-4 (11.55-12.12) Rasheed Abdur - Multivariate individual bioequivalence
    OC24-5 (12.12-12.30) Bastien Cabarrou - How to address the heterogeneity in the design of phase II clinical trials in geriatric oncology?

 OC25: Survival analysis 3

    OC25-1 (11.00-11.18) Philippe Lambert - Identification issues and efficient estimation strategies in cure survival models under insufficiently long follow-up
    OC25-2 (11.19-11.36) Alessandro Gasparini - Impact of model misspecification in survival models with frailty terms
    OC25-3 (11.37-11.54) Mia Klinten Grand - Regression models in survival analysis with left-truncation using pseudo-observations
    OC25-4 (11.55-12.12) Lynsey Chudleigh - Replicating individual patient data including covariate distributions to inform extrapolation of clinical trials using external data
    OC25-5 (12.12-12.30) Nonhlanhla Yende-Zuma [CASc winner] - Adjusting the effect of integrating antiretroviral therapy and tuberculosis treatment on mortality for non-compliance: an instrumental variables analysis

 PC5: Topic TBA


 OC26: STRengthening analytical thinking for observational studies (STRATOS) 2

    OC26-1 (12.36-12.54) Philip Clare - Comparison of methods for adjusting for time-varying confounding
    OC26-2 (12.55-13.12) Rebecca Whittle - Measurement error and timing of predictor values used in prediction model research: a systematic review of current practice and reporting
    OC26-3 (13.13-13.30) Camila Olarte Parra - Is kidney transplantation best preceded by dialysis? On avoiding potential biases through G-estimation

 OC27: Joint modelling in practice 2

    OC27-1 (12.36-12.54) Eleni-Rosalina Andrinopoulou - Integrating latent classes in the Bayesian shared parameter joint model of longitudinal and survival outcomes
    OC27-2 (12.55-13.12) Panagiota Filippou - Penalized likelihood estimation of a trivariate additive binary model
    OC27-3 (13.13-13.30) Elisa Duarte - Using copula GAMLSS to study the relationship between the age at menarche and reproductive lifespan of women in Central Portugal breast cancer screening program

 OC28: Survival analysis 2

    OC28-1 (12.36-12.54) Aysun Cetinyurek Yavuz - A shared frailty model using Gamma shape mixtures and the EM algorithm for interval-censored data
    OC28-2 (12.55-13.12) Francisco Javier Rubio - A frailty model for the estimation of the excess mortality hazard in case of mismatched lifetables
    OC28-3 (13.13-13.30) Theodor Adrian Balan - Non-proportional hazards or unobserved heterogeneity in clustered survival data: Can we tell the difference?

 OC29: Topics in biostatistics 1

    OC29-1 (12.36-12.54) Michael Kammer - Impact of standardization in L1-penalized regression
    OC29-2 (12.55-13.12) Eleni Vradi - Model Selection based on combined penalties for biomarker identification
    OC29-3 (13.13-13.30) Thao Le Thi Phuong - A comparison of model selection methods in the presence of multiply imputed data

 OC30: Methods for handling missing data 2

    OC30-1 (12.36-12.54) Nicole Erler - Imputation of missing covariates: when standard methods may fail
    OC30-2 (12.55-13.12) Helen Blake - Propensity score analysis incorporating missingness patterns for partially observed confounders
    OC30-3 (13.13-13.30) Margarita Moreno-Betarcurt - A causal approach to handling missing data in multiple variables: Coming to grips with missing not at random

Lunch break




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