Programme


 

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

 

Wednesday 12, July
09.00 10.30  IS3: Biostatistics for High Dimensional Data  OC31: Design and analysis of clinical trials 4  OC32: Multistate survival analysis and dynamic prediction 2  OC33: Heterogeneity in biomedical studies and meta-analysis  OC34: Statistical challenges of EHR (eHealth Records) analysis  PC6: Topic TBA
10.30 11.00 Coffee break     
11.00 12.00 Keynote Speaker: Francesca Dominici, Harvard University, USA
Model Uncertainty and Covariate Selection in Causal Inference      
12.00 13.00 ISCB Annual General Meeting   ISCB Annual General Meeting
13.00 13.30 Lunch break
13.30 14.30 Lunch break
14.30 16.00  IS1: Bayesian Methods in Clinical Research  OC35: Complex survival data 2  OC36: Statistical methods for precision
medicine 2

 OC37: Design and analysis of clinical

trials 5

 OC38: Statistical methods in

epidemiology 3

 PC7: Topic TBA
16.00 16.30 Coffee break     
16.30 18.00  IS4: Clinical Trial Simulations: the When, Where and What  OC39: Bayesian methods in clinical research 5  OC40: Joint modelling in practice 3

 OC41: Topics in biostatstics 2

 

 OC42: Survival

analysis 4

 PC8: Topic TBA
18.00 18.30  ISCB39 Presentation     
20.00   Conference Dinner at Hotel Pazo Los Escudos (Beach of Alcabre)


  

 

 

09.00-10.30

 

 IS3: Biostatistics for High Dimensional Data

     
   

Organised by Jeanine Houwing-Dustermaat, University of Leeds, United Kingdom

    Room: TBA
   

 

IS3-1 Pietro Lio, University of Cambridge, United Kingdom - An Integrative Network-Based Analysis of Multi-Omics for Survival Cancer Data

IS3-2 Hae Won Uh, Leiden University Medical Center, The Netherlands - Latent Variable Modelling for Multiple Omics Data

IS3-3 John Whittaker, Glaxo Smith Kline Pharmaceuticals, United Kingdom - Genomics and Drug Discovery 

 

     
   

 OC31: Design and analysis of clinical trials 4

     
    OC31-1 (09.00-09.18) Corine Baayen - Sequential trials in the context of competing risks – a case study
     
    OC31-2 (09.19-09.36) Kevin Kunzmann - Test-compatible inference for adaptive two-stage single-arm designs with binary endpoint
     
    OC31-3 (09.37-09.54) Meinhard Kieser - Optimal planning of phase II/III programs for clinical trials with multiple endpoints
     
    OC31-4 (09.55-10.12) Ayon Mukherjee - Covariate-adjusted response-adaptive designs in clinical trials where the survival responses of patients follow a semi-parametric model
     
    OC31-5 (10.12-10.30) Matteo Quartagno - A new design for trials for finding optimal treatment duration
     
   

 OC32: Multistate survival analysis and dynamic prediction 2

     
    OC32-1 (09.00-09.18) Krithika Suresh [StCA winner] - Comparison of joint modeling and landmarking for dynamic prediction under an illness-death model
     
    OC32-2 (09.19-09.36) Ulrich Beyer - Predicting treatment outcome using intermediate state information based on a multistate landmark model including pre-landmark co-variables
     
    OC32-3 (09.37-09.54) Maja Katharina Von Cube - A dynamic prediction approach to analyse the population-attributable fraction of ventilator associated pneumonia
     
    OC32-4 (09.55-10.12) Leyla Azarang - Multi-state net survival model
     
    OC32-5 (10.12-10.30) Brice Ozenne - Assessing treatment effects on registry data in presence of competing risks
     
   

 OC33: Heterogeneity in biomedical studies and meta-analysis 

     
    OC33-1 (09.00-09.18) Danielle Burke - Guidance for deriving and presenting percentage study weights in meta-analysis of test accuracy studies
     
    OC33-2 (09.19-09.36) Samprit Banerjee - A semi-parametric approach for meta-analysis of survival curves from orthopedic registries
     
    OC33-3 (09.37-09.54) David Phillippo - Population-adjusted treatment comparisons: estimates based on Matching-Adjusted Indirect Comparison and Simulated Treatment Comparison
     
    OC33-4 (09.55-10.12) Fotios Siannis - Longitudinal meta-analysis of percentile ratios for survival data
     
    OC33-5 (10.12-10.30) Valentijn De Jong - Individual patient data meta-analysis of time-to-event data: A review of the methodology
     
   

 OC34: Statistical challenges of EHR (eHealth Records) analysis 

     
    OC34-1 (09.00-09.18) Clemence Leyrat - How should missing time-varying confounders be handled to estimate marginal effects from electronic health records?
     
    OC34-2 (09.19-09.36) Olympia Papachristofi - The role of Electronic Health Records in the design of trials of complex interventions: a view from surgery
     
    OC34-3 (09.37-09.54) Lauren Rodgers - A quasi-experimental approach to account for unmeasured confounders in the assessment of side effects using observational data
     
    OC34-4 (09.55-10.12) Kristi Krebs - Genetic variation in the Estonian population: a pharmacogenomic study of adverse drug reactions using electronic health records
     
    OC34-5 (10.12-10.30) David Cheng [StCA winner] - Efficient and robust semi-supervised estimation of treatment effects in electronic medical records data
     
   

 PC6: Topic TBA

     
10.30-11.00  

 Coffee break

     
11.00-12.00  

 Keynote Speaker: Francesca Dominici, Harvard University, USA

     
    Model Uncertainty and Covariate Selection in Causal Inference
     
12.00-13.30  

 ISCB Annual General Meeting

     
13.00-14.30  

Lunch break

     
14.30-16.00  

IS1: Bayesian Methods in Clinical Research

     
    Organised by Carmen Armero, University of Valencia, Spain
    Room: TBA
   

 

IS1-1 Heinz Schmidli, Novartis Pharma AG, Switzerland - Bayesian Evidence Synthesis for Extrapolation in Clinical Research

IS1-2 Peter Müller, University of Texas at Austin, USA - A Population-Finding Design with Covariate-Dependent Random Partitions 

IS1-3 Lisa Hampson, Lancaster University, United Kingdom - Use of Bayesian Approaches for Extrapolating from Adult Efficacy Data to Design and Interpret Confirmatory Trials in Children

 

     
   

 OC35: Complex survival data 2

     
    OC35-1 (14.30-14.48) Ruth Keogh - Flexible modelling of personalised dynamic prediction curves using landmarking, with a case-study in cystic fibrosis
     
    OC35-2 (14.49-15.06) Kaspar Rufibach - Joint modelling of progression-free and overall survival
     
    OC35-3 (15.07-15.24) Mailis Amico - A ROC curve approach for cure status prediction from survival data
     
    OC35-4 (15.25-15.42) Anna Wolski - Comparison of net survival with non-proportional hazard functions: a test based on restricted net survival time
     
    OC35-5 (15.43-16.00) Song Yang - Improving the testing of treatment effect in clinical trials with time to event outcomes
     
   

 OC36: Statistical methods for precision medicine 2

     
    OC36-1 (14.30-14.48) Kukatharmini Tharmaratnam - Point and interval estimation for predicting individual treatment effect based on randomized clinical trial data
     
    OC36-2 (14.49-15.06) Zhi Zhao - Approaches to incorporate drug-drug similarity in multi-response penalized likelihood methods for predicting drug response based on multi-omics data
     
    OC36-3 (15.07-15.24) Erik Van Werkhoven - Development of treatment-selection markers for studies with failure-time outcomes
     
    OC36-4 (15.25-15.42) Antonia Marsden - Evaluating treatment effect modification on the additive scale to investigate predictors of differential treatment response
     
    OC36-5 (15.43-16.00) Taesung Park - Pathway-based approach to NGS data with multiple phenotypes
     
   

 OC37: Design and analysis of clinical trials 5

     
    OC37-1 (14.30-14.48) Yida Chiu - Graphical displays for subgroup analysis in clinical trials
     
    OC37-2 (14.49-15.06) Lieven Desmet - A correlation test for central statistical monitoring of multicenter clinical trials
     
    OC37-3 (15.07-15.24) Frank Bretz - Assessing the similarity of dose response and target doses in two non-overlapping populations
      
    OC37-4 (15.25-15.42) Jordam Elm - Use of ordinal scale endpoint in therapeutic influenza clinical study
     
    OC37-5 (15.43-16.00) Zoe Moodie - Correlates of risk and protection of CYD-TDV, the first licensed dengue vaccine in endemic countries
     
   

 OC38: Statistical methods in epidemiology 3

     
    OC38-1 (14.30-14.48) Evangelia Christodoulou - Using indices to estimate the association of >1 exposures with quantitative, binary and time-to event health outcomes 
     
    OC38-2 (14.49-15.06) Coraline Danieli - Modeling of cumulative effects of time-varying drug exposures on changes in a longitudinal biomarker
     
    OC38-3 (15.07-15.24) Helene Jacqmin-Gadda - Weighted two-stage calibration for adjustment on unobserved confounders with non-representative validation sample
     
   

OC38-4 (15.25-15.42) David Van Klaveren - The calibrated model-based concordance improved assessment of discriminative ability in patient clusters of limited sample size

     
    OC38-5 (15.43-16.00) Pedro Sa-Couto - A graphical guideline for the selection of reliability and agreement methods for clinical studies
     
   

 PC7: Topic TBA

     
 16.00-16.30  

Coffee break

     
 16.30-18.00  

 IS4: Clinical Trial Simulations: the When, Where and What

     
    Organised by Geraldine Rauch, University of Heidelberg, Germany
    Room: TBA
   

 

IS4-1 Frank Konietschke, University of Dallas, USA - Parametric and Nonparametric Bootstrap Methods for General MANOVA

IS4-2 Tim Friede, Georg-August University of Göttingen, Germany (Co-author: Norbert Benda, BfArM, Bonn) - A Framework for Simulations in Clinical Research with Applications in Small Populations and Rare Diseases

IS4-3 Antje Jahn, University of Mainz, Germany - Simulating Recurrent Event Data with a Calendar Time Scale

     
     
   

 OC39: Bayesian methods in clinical research 5

     
    OC39-1 (16.30-16.48) Pablo Emilio Verde - The hierarchical meta-regression approach and learning from clinical evidence
     
    OC39-2 (16.49-17.06) Miguel Caubet Fernández - A Bayesian multivariate latent t-model for assessing the effects of intracranial radiotherapy and corticosteroid therapy on cardiometabolic risk factors in survivors of childhood acute lymphoblastic leukemia
     
    OC39-3 (17.07-17.24) Despina Vasileiou - Bayesian clinical trial design for rare diseases; prior opinion elicitation for Chronic Rheumatoid Multifocal Osteomyelitis
     
    OC39-4 (17.25-17.42) Christian Röver - Extrapolation in meta-analysis
     
    OC39-5 (17.43-18.00) Elena Lázaro - Dealing with baseline hazard functions in Bayesian joint models
     
   

 OC40: Joint modelling in practice 3

     
    OC40-1 (16.30-16.48) Anaïs Rouanet - Dynamic predictions from joint models for multiple longitudinal markers correlated to interval-censored competing events
     
    OC40-2 (16.49-17.06) Sara Baart - Joint models for longitudinal and time-to-event data in a case-cohort design
     
    OC40-3 (17.07-17.24) Sam Brilleman [StCA winner] - Bayesian joint models for multiple longitudinal biomarkers and a time-to-event outcome: software development and a melanoma case study
     
    OC40-4 (17.25-17.42) Maria Sudell - Practical methods to pool multi-study joint longitudinal and time to event data
     
    OC40-5 (17.43-18.00) Roger Marshall - Enhancing regression  nomograms  to provide a graphical representation of disease risk prediction regression models
     
   

 OC41: Topics in biostatistics 2

     
    OC41-1 (16.30-16.48) Robin Ristl - Simultaneous inference for multiple marginal GEE models with small sample sizes
     
    OC41-2 (16.49-17.06) Sabine Hoffmann - Elicitation of the knowledge of several experts to derive informative prior distributions on biological parameters in radiation epidemiology
     
    OC41-3 (17.07-17.24) Javier Rivera - Getting relevant groups of bacteria in microbiome analysis
     
    OC41-4 (17.25-17.42) María Álvarez Hernández - Alfa coefficient: an alternative measure of categorical agreement among many raters
     
    OC41-5 (17.43-18.00) Abhik Ghosh [CASc winner] - Robust inference under the beta regression model with application to health care studies
     
   

 OC42: Survival analysis 4

     
    OC42-1 (16.30-16.48) Adina Najwa Kamarudin - Measuring the effectiveness of diagnostic markers in the presence of measurement error through the use of time-dependent ROC curve methodology
     
    OC42-2 (16.49-17.06) Steve Su - Flexible parametric accelerated failure model
     
    OC42-3 (17.07-17.24) Enya Weber - Comparison of approaches to joint modelling of progression-free survival and overall survival in cancer trials
     
    OC42-4 (17.25-17.42) Michel Hof - A probabilistic record linkage model for left truncated time-to-event data with competing risks
     
    OC42-5 (17.43-18.00) Menglan Pang - Flexible accelerated failure time model for right censored data in survival analysis
     
   

 PC8: Topic TBA

     
 18.00-18.30  

 ISCB39 Presentation

     
20.00  

 Conference Dinner at Hotel Pazo Los Escudos (Beach of Alcabre)

     
   

Location: Pazo Los Escudos, Avda. Atlántida, 106

   

Map >>

    • [StCA winner]

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 Technical Secretariat: Orzán Congres  

ISCB

 
 Phone: +34 981 900 700 | Email: iscb2017@orzancongres.com | Web: www.iscb2017.info

 

 

 

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