Programme


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

 

Monday 10, July
09.00 09.30 Welcome
09.30 10.30

ISCB President´s Invited Speaker: Anastasios Tsiatis, North Carolina State University

Treatment Discontinuation and Dynamic Treatment Regimes: What is the question?

10.30 11.00 Coffee break
11.00 12.30

 IS8: Statistical Methods

for Precision Medicine

 OC1: Bayesian methods in clinical research 1

 OC2: Longitudinal data

analysis and biomarker discovery

 OC3: Machine learning for clinical data analysis

 OC4: Multistate survival

analysis and dynamic prediction 1

 PC1: Topic TBA

12.36 13.30

 OC5: STRATOS 1

 OC6: Bayesian methods in clinical research 2  OC7: Methods for handling missing data 1  OC8: Rare diseases and small populations  OC9: Survival analysis 1  
13.30 15.00 Lunch break
15.00 16.30  IS7: Methods in Research on Research  OC10: Biostatistics for high dimensional data 1  OC11: Joint modelling in practice 1  OC12: Statistical methods for systematic reviews

 OC13: Causal inference and mediation analysis 1

 PC2: Topic TBA

16.30 17.00 Coffee break
17.00 18.30  IS2: Beyond Proportional Hazards  OC14: Bayesian methods in clinical research 3  OC15: Complex survival data 1

 OC16: Design and  analysis of clinical

trials 1

 OC17: Statistical methods in epidemiology 1

 PC3: Topic TBA

20.00   Welcome Reception at Pazo Quiñones de León (Castrelos Park)

 

 

 

 

09.00-09.30

 

 Welcome

     

09.30-10.30

 

 ISCB President´s Invited Speaker: Anastasios Tsiatis, North Carolina State University

     
     Treatment Discontinuation and Dynamic Treatment Regimes: What is the question?
     
     
 10.30-11.00  

 Coffee break

     

11.00-12.30

 

 IS8: Statiscal Methods for Precision Medicine

     
   

Organised by Marie Davidian, North Carolina State University, USA

    Room: TBA
   

 

IS8-1 Kelley Kidwell, University of Michigan, USA - SMART Clinical Trial Design for Tailored Treatment Guidelines

IS8-2 Eric Laber, Carolina State University, USA - Sample Size Considerations for Precision Medicine

IS8-3 Erica Moodie, McGill University, Quebec, Canada - Personalizing Immunosuppressant Regimes Following Transplantation

 

     
   

 OC1: Bayesian methods in clinical research 1

     
    OC1-1 (11.00-11.18) Thomas Burnett  - Enhancing adaptive enrichment trials using short term endpoints
     
    OC1-2 (11.19-11.36) Katharina Hees - Sample size recalculation in clinical trials incorporating historical data
     
    OC1-3 (11.37-11.54) Gaelle Saint-Hilary - Comparing drug development strategies with probabilities of success including benefit-risk assessment to inform decision-making
     
    OC1-4 (11.55-12.12) Manuel Wiesenfarth - Partial pooling of patient subgroups in phase II trials: Improving performance when treatments are only active in a minority of groups
     
    OC1-5 (12.12-12.30) Kirsty Hicks - Quantitative approaches to design and analysis of experimental medicine clinical trials
     
   

 OC2: Longitudinal data analysis and biomarker discovery 

     
    OC2-1 (11.00-11.18) Bachirou Taddé - Modelling trajectories and causal links between anatomic, cognitive and functional domains in Alzheimer’s disease: a latent process approach
     
    OC2-2 (11.19-11.36) Lan Wen [StCA winner] - Methods for handling longitudinal outcomes truncated by dropout and death
     
    OC2-3 (11.37-11.54) Gul Inan - A criterion for selection of working correlation structure in generalized estimating equations
     
    OC2-4 (11.55-12.12) Armando Teixeira-Pinto - CRP as a longitudinal biomarker for sepsis resolution
     
    OC2-5 (12.12-12.30) Josu Najera-Zuloaga - Beta-binomial mixed-effects model for analyzing longitudinal binomial data with overdispersion
     
   

 OC3: Machine learning for clinical data analysis 

     
    OC3-1 (11.00-11.18) Michael Leblanc - A model-based subgroup learning strategy
     
    OC3-2 (11.19-11.36) Mohammad Karim - Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context
     
    OC3-3 (11.37-11.54) Insuk Sohn - Semivarying coefficient least squares support vector regression for analyzing high-dimensional gene-environmental data
     
    OC3-4 (11.55-12.12) Marius Thomas - Subgroup identification in dose-response studies via model-based recursive partitioning
     
    OC3-5 (12.12-12.30) Andrea Hita - Segmentation methods comparison at events detection in physiological time-series: hidden Markov models versus spectrogram based techniques
     
   

 OC4: Multistate survival analysis and dynamic prediction 1

     
    OC4-1 (11.00-11.18) Tatek Getachew Habtemichael - Diagnostics in HIV/AIDS progression using a hidden Markov model
     
    OC4-2 (11.19-11.36) Martin Wolkewitz - Using point-prevalence studies for risk factor analyses of hospital-acquired infections: a multi-state point of view
     
    OC4-3 (11.37-11.54) Michael Lauseker - Misspecification of cause of death in a progressive illness-death model
     
    OC4-4 (11.55-12.12) Francesca Leva - Multi state modelling for Heart Failure care path: a population-based study using administrative data
     
    OC4-5 (12.12-12.30) Klaus Langohr - A bidirectional multi-state model for panel data on bone mineral density among HIV-infected patients
     
   

 PC1: Topic TBA

     
 12.36-13.30  

 OC5: STRengthening analytical thinking for observational studies (STRATOS) 1

     
    OC5-1 (12.36-12.54) Willi Sauerbrei - On ’state-of-the-art‘ for selection of variables and functional forms in multivariable analysis
     
    OC5-2 (12.55-13.12) Christen Gray - Accounting for complex measurement error in fractional polynomial models, with an application to alcohol and mortality
     
    OC5-3 (13.13-13.30) Aris Perperoglou - A comparison of spline methods in R for building explanatory models
     
   

 OC6: Bayesian methods in clinical research 2

     
    OC6-1 (12.36-12.54) Philip Boonstra - Combining nested risk-prediction models
     
    OC6-2 (12.55-13.12) Andrea Cremaschi - A Bayesian approach to modelling drug interactions
     
    OC6-3 (13.13-13.30) Iván Navarro - Bayesian predictions for clinical trials with time-to-event endpoints
     
   

 OC7: Methods for handling missing data 1

     
    OC7-1 (12.36-12.54) Cattram Nguyen - Practical guidance for handling convergence issues in multiple imputation
     
    OC7-2 (12.55-13.12) Shaun Seaman - Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible
     
    OC7-3 (13.13-13.30) Emily Karahalios - Using multiple imputation to account for missing data in marginal structural models: a simulation study
     
   

 OC8: Rare diseases and small populations 

     
    OC8-1 (12.36-12.54) Christina Fitzner - Comparison of stratified randomization  to unstratified randomization in small sample size trials with rare events on the basis of empirical type I error rates
     
    OC8-2 (12.55-13.12) Kristian Brock - Assessing the design of our trial in an ultra-rare condition by the Parmar et al. framework for trials in smaller populations
     
    OC8-3 (13.13-13.30) Susanne Urach - Statistical properties of hypothesis tests for a goal attainment scaling endpoint
     
   

 OC9: Survival analysis 1

     
    OC9-1 (12.36-12.54) Carla Moreira - Flexible hazard rate estimation with interval sampling
     
    OC9-2 (12.55-13.12) Hans Van Houwelingen - Solving the fine-gray riddle
     
    OC9-3 (13.13-13.30) Ronald Geskus - Two approaches to estimation of the subdistribution hazard with time-varying covariables
     
13.30-15.00  

 Lunch break

     
15.00-16.30  

IS7: Methods in Research on Research

     
    Organised by Els Goetghebeur, Ghent University, Belgium
    Room: TBA
   

 

IS7-1 John Ioannidis, Stanford University, USA - Lessons from Meta-Epidemiological Assessments

IS7-2 Isabelle Boutron, Paris Descartes University, France - The Peer Review Process. Why Evidence Based Practices Are Needed

IS7-3 Patrick Bossuyt, University of Amsterdam, Netherlands - Twisting “Spin”: How to Avoid or Attenuate Exaggerated Claims in Reports of Biomarker Studies 

 

     
   

 OC10: Biostatistics for high dimensional data 1

     
    OC10-1 (15.00-15.18) Maral Saadati - Regularized cause-specific hazards models for competing risks
     
    OC10-2 (15.19-15.36) Virginie Stanislas - Detecting interactions in GWAS with the Gene-Gene Eigen-Epistasis approach
     
    OC10-3 (15.37-15.54) Juan R. González - Efficient generalized canonical correlation method to perform multiomic data integration of big data matrices with missing individuals
     
    OC10-4 (15.55-16.12) Marianne Jonker - Statistical methods for detecting gene-gene and gene-environment interactions in genetic association studies
     
    OC10-5 (16.13-16.30) Harald Binder - Partitioned learning of deep Boltzmann machines for linking complex SNP patterns to clinical endpoints
     
   

 OC11: Joint modelling in practice 1

     
    OC11-1 (15.00-15.18) Marta García-Fiñana - Joint modelling of multiple longitudinal markers for clinical classification purposes
     
    OC11-2 (15.19-15.36) Regina Stegherr - Analysing unmeasured baseline covariates in studies with delayed entry using a joint model
     
    OC11-3 (15.37-15.54) Grigorios Papageorgiou - Individualized dynamic prediction of survival under time-varying treatment strategies
     
    OC11-4 (15.55-16.12) Jenifer Espasandín-Domínguez - A novel approach to joint modelling inflammatory markers through flexible copula regression models
     
    OC11-5 (16.13-16.30) Jack Wilkinson - Analysis of complex longitudinal data arising from multistage interventions
     
   

 OC12: Statistical methods for systematic reviews 

     
    OC12-1 (15.00-15.18) Thomas Debray - Meta-analysis of external validation studies
     
    OC12-2 (15.19-15.36) Stephen Senn - Random (Bayesian) main effect of treatment meta-analysis
     
    OC12-3 (15.37-15.54) Ian White - A comparison of arm-based and contrast-based approaches to network meta-analysis
     
    OC12-4 (15.55-16.12) Yusuke Yamaguchi - Bivariate meta-analysis for two binary outcomes with low incidence: a bivariate beta-binomial model using copulas
     
    OC12-5 (16.13-16.30) Bryony Langford - Machine learning methods for systematic literature reviews: automated abstract selection based on study design
     
   

 OC13: Causal inference and mediation analysis 1

     
    OC13-1 (15.00-15.18) Bianca L. De Stavola - Multiple questions for multiple mediators
     
    OC13-2 (15.19-15.36) Sabine Landau - Mediation analysis for trials using Stein-like estimators with instrumental variables
     
    OC13-3 (15.37-15.54) Minna Genbäck - Bias, bounds and sensitivity analysis for unobserved confounding when using regression imputation and double robust estimators
     
    OC13-4 (15.55-16.12) Anita Lindmark - Sensitivity analysis for unobserved confounding of direct and indirect effects using uncertainty intervals
     
    OC13-5 (16.13-16.30) Paola Rebora - Causal models to evaluate the role of anticoagulant therapy on mortality in haemodialysis patients
     
   

 PC2: Topic TBA

     
 16.30-17.00  

 Coffee break

     
17.00-18.30  

 IS2: Beyond Proportional Hazards

     
    Organised by Lee-Jen Wei and Tianxi Cai, Harvard T.H. Chan School of Public Health, USA
    Room: TBA
   

 

IS2-1 Hajime Uno, Dana-Farber Cancer Institute, USA - RMST Methodology: Beyond Simple Two-Sample Comparisons

IS2-2 Brian Claggett, Harvard Medical School, USA - Non-Parametric Estimation of LongTerm Treatment Benefit from a Randomized Controlled Trial

IS2-3 Ludovic Trinquart, Boston University School of Public Health, Department of Biostatistics, USA - Non-Inferiority Trials with Time-to-Event Outcomes: Design Based on the Restricted Mean Survival Times

     
   

 OC14: Bayesian methods in clinical research 3

     
    OC14-1 (17.00-17.18) Jordan Elm - Subject randomization with optimal unequal allocation in Bayesian adaptive trials
     
    OC14-2 (17.19-17.36) Reynaldo Martina - A combined proof of concept and dose finding study with multiple endpoints: A Bayesian adaptive design in chronic prostatitis/chronic pelvic pain syndrome
     
    OC14-3 (17.37-17.54) Yuh-Ing Chen - Bayesian test-based design for Phase I clinical trial with late-onset toxicity
     
    OC14-4 (17.55-18.12) Rajat Mukherjee - Bayesian design for clinical trials with composite endpoints consisting of survival and longitudinal endpoints
     
    OC14-5 (18.13-18.30) Peter Fletcher - Bayesian estimation of median survival times versus Kaplan-Meier estimates in single arm phase II clinical trials
     
   

 OC15: Complex survival data 1

     
    OC15-1 (17.00-17.18) Andrew Titman - Testing the Markov assumption in general multi-state models
     
    OC15-2 (17.19-17.36) Nan Van Geloven - The role of frailty in the evaluation of treatment delay
     
    OC15-3 (17.37-17.54) Jooyoung Lee - Bias in rate-based analysis of recurrent exacerbations due to the risk-free period
     
    OC15-4 (17.55-18.12) Paul Blanche - Inference in the competing risks setting via constrained nonparametric maximum likelihood estimation
     
    OC15-5 (18.13-18.30) Tobias Bluhmki - Empirical simulation of complex time-to-event data incorporating time-dependent exposures: A multistate approach
     
   

 OC16: Design and analysis of clinical trials 1

     
    OC16-1 (17.00-17.18) Stella Preussler - Optimal sample size allocation and go/no-go decision rules for phase II/III programs where several phase III trials are performed
     
    OC16-2 (17.19-17.36) Beatriz Goulao - Split-plot designs: sample size considerations
     
    OC16-3 (17.37-17.54) Babak Choodari-Oskooei - Type I error rates of multi-arm multi-stage (MAMS) platform clinical trials: impact of adding new research arms
     
    OC16-4 (17.55-18.12) Marta Bofill-Roig - Sample size derivation for Binary Composite Endpoints
     
    OC16-5 (18.13-18.30)  Toshiro Tango - Power and sample size for the S:T repeated measures design combined with  a linear mixed-effects model allowing for missing dat
     
   

 OC17: Statistical methods in epidemiology 1

     
    OC17-1 (17.00-17.18) Nadine Binder - Missing disease information due to death may impact results of cohort studies reporting decline in dementia incidence
     
    OC17-2 (17.19-17.36) Lasse Jakobsen - Estimation of time to statistical cure
     
    OC17-3 (17.37-17.54) Myra Mcguinness - Survival bias in studies with time-varying exposures: An application to dietary patterns and age-related macular degeneration
     
    OC17-4 (17.55-18.12) Christine Wallisch - Challenges in updating published survival prediction models with a large cohort
     
    OC17-5 (18.13-18.30)  Nicholas Turner -Modifiable risk factors for depression in adolescence – understanding the causal role of obesity
     
   

 PC3: Topic TBA

     
20.00  

 Welcome Reception

     
   

Location: Pazo Quiñones de León (Castrelos park, Av. Castrelos, s/n)

   

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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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