Program for Tuesday, July 20th: Talk View

PROGRAM FOR TUESDAY, JULY 20TH: TALK VIEW

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13:00

13:30

14:00

14:30

15:00

15:30

16:00

16:30

17:00

17:30

18:00

18:30

19:00

19:30

13:00-14:30

Faster and more agile designs: speeding up the stepped wedge with batched designs

Jessica Kasza, Rhys Bowden, Andrew Forbes

13:00-14:30

Longitudinal cluster randomised trials with continuous recruitment

Richard Hooper

13:00-14:30

Optimal design of cluster randomized trials with baseline data comparing routine care to a new

Andrew Copas

13:00-14:30

Multiple imputation in propensity score matching: obtaining correct confidence intervals

Corentin Ségalas, Clémence Leyrat, James Carpenter, Elizabeth Williamson

13:00-14:30

Effectiveness of screening colonoscopy in reducing colorectal cancer incidence: emulated target trials from German claims

Malte Braitmaier, Sarina Schwarz, Bianca Kollhorst, Vanessa Didelez, Ulrike Haug

13:00-14:30

Variance estimators for weighted and stratified linear dose-response function estimators using generalized propensity

Valérie Gares, Guillaume Chauvet, David Hajage

13:00-14:30

Confounder selection strategies targeting stable treatment effect estimators

Wen Wei Loh, Stijn Vansteelandt

13:00-14:30

Causal inference for combining RCTs and observational studies: methods comparison and medical

Colnet, Mayer, Josse, Yang, Chen, Dieng, Varoquaux, Vert, Li

13:00-14:30

Factors involved in COVID-19 prognosis of patients hospitalized in Campania Region. Findings from COVOCA

Simeon, Pafundi, Chiodini, Galiero, Caturano, Vetrano, Sasso

13:00-14:30

Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic

Oswaldo Gressani, Christel Faes, Niel Hens

13:00-14:30

Evaluating the effectiveness of local tracing partnerships on NHS test and trace for Covid19

Pantelis Samartsidis, Shaun Seaman, Daniela De Angelis

13:00-14:30

Accounting for time-dependant confounding variables in mechanistic ODE model: simulations and application to a vaccine

Rodolphe Thiebaut, Melanie Prague

13:00-14:30

Interventions to control nosocomial transmission of SARS-CoV-2: a modelling study

Pham et.al

13:00-14:30

Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark

Anthony Devaux, Robin Genuer, Karine Pérès, Cécile Proust-Lima

13:00-14:30

Comparison of multiple dynamic predictive accuracies

Clémence Moreau, Jérémie Riou, Marine Roux

13:00-14:30

Spatio-temporal score driven modeling of resting state fMRI data

Francesca Gasperoni, Alessandra Luati, Lucia Paci, Enzo D'Innocenzo

13:00-14:30

Breast cancer risk prediction in mammography screening cohorts: an approach based on modeling tumor onset and

Rickard Strandberg, Kamila Czene, Per Hall, Keith Humphreys

13:00-14:30

Accounting for improvements in survival when developing risk prediction models in a competing risks

Sarah Booth, Richard D. Riley, Joie Ensor, Paul C. Lambert, Mark J. Rutherford

13:00-14:30

COVID-PRECISE: A living methodological review of prediction models for diagnosis and prognosis of

Wynants et.al

13:00-14:30

A Bayesian model for heterogeneous treatment effects on the additive risk scale in meta-analysis

Doranne Thomassen, Ewout Steyerberg, Saskia le Cessie

13:00-14:30

Assessing risk of bias in individual participant data meta-analyses for prediction model research

Levis, Snell, Collins, Debray, Moons, Reitsma, Riley

13:00-14:30

Using meta-analysis for external validation of prediction models in big data, accounting for competing

L. Archer, K. Snell, J. Ensor, C. Koshiaris, J. Sheppard, R. Riley

13:00-14:30

MSMplus: A dynamic interactive web tool for presentation of multi-state model analysis results

Nikolaos Skourlis, Michael Crowther, Therese Andersson, Paul Lambert

13:00-14:30

Statistical models for the natural history of breast cancer, with application to data from a Milan cohort

Laura Bondi, Marco Bonetti, Denitsa Grigorova, Antonio Russo

13:00-14:30

Reevaluating dementia incidence trends: The critical role of adequate design and methodology

Nadine Binder, Martin Schumacher

13:00-14:30

Statistical inference for transition probabilities in non-Markov multi-state models subject to both random left-truncation and

Alexandra Niessl, Arthur Allignol, Jan Beyersmann, Carina Mueller

13:00-14:30

Harmonization of endpoints in ICU trials using multi-state modelling

M. von Cube, D. Hajage, V. Lemiale, D. Dreyfuss, S. Gaudry, J. Lambert

13:00-14:30

Neural networks for survival prediction in medicine: a review and critical appraisal

Georgios Kantidakis, Audinga-Dea Hazewinkel, Marta Fiocco

13:00-14:30

Comparison of imputation methods that solve granularity problem resulting from healthcare structured data

Alexia Sampri, Nophar Geifman, Philip Couch, Niels Peek

13:00-14:30

Survival Predictions and Uncertainty Measures with Censored Data

Elvire Roblin, Paul-Henry Cournede, Stefan Michiels

13:00-14:30

Parametric and non-parametric variable selection methods for predictive modeling with binary

Johannes Vey, Dorothea Kronsteiner, Meinhard Kieser

13:00-14:30

Performance measures for assessing machine learning algorithms in clinical trials

White et.al

13:00-14:30

Using Historical Data to Predict Health Outcomes – The Prediction Design

Stella Erdmann, Manuel Feißt, Johannes Krisam, Meinhard Kieser

13:00-14:30

Bayes Factors for Equivalence, Non-inferiority, and Superiority Designs Using baymedr

Maximilian Linde, Don van Ravenzwaaij

13:00-14:30

FORECAST ALZHEIMER'S DISEASE PROGRESSION TO BETTER SELECT PATIENTS FOR CLINICAL TRIALS

E. Maheux, J. Ortholand, I. Koval, A. Valladier, S. Durrleman

13:00-14:30

Design effects and analysis considerations for the split-mouth design with an unequal numbers of sites per

Caroline Kristunas, Karla Hemming, Thomas Dietrich

13:00-14:30

Challenges of using big health data to identify patterns of anxiety and depression in multimorbid

Puronaitė et.al

14:30-15:00

The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne

Zhai, Amadou, Mercier, Praud, Faure, Iwaz, Severi, Mancini, Coudon, Fervers, Roy

Lower Limit of Quantification in various distributed data: examining confidence interval variations

Tanja Bülow, Ralf-Dieter Hilgers, Nicole Heussen

Diversity indices and statistical methods used in studies addressing dysbiosis applied to composition data of the gut

Asuka Nemoto

Subsequent primary neoplasms in bladder cancer patients

Lucie Pehalova, Denisa Krejci, Ladislav Dusek

On heuristic detection of maternal-age-related increase of birth defect risk: Experience, issues,

Jan Klaschka, Marek Malý, Antonín Šípek

Linkage of national clinical datasets without patient identifiers using probabilistic methods

Helen Blake, Linda Sharples, Katie Harron, Jan van der Meulen, Kate Walker

Chronic exposure to multiple air pollutant and risk of breast cancer: A nested case - control within the E3N

Ngaleu et.al

Use of innovative methods to estimate a reliable French pathological complete response rate on real world

Darbier, Péan, Ghorbal, Pau, Esnault, Gilberg, Civet, Dupin

Sensitivity analyses for measurement error using regression calibration or simulation-extrapolation

Linda Nab, Rolf H.H. Groenwold

15:15-16:45

Data linkage for creating electronic birth cohorts: handling bias due to linkage error

Katie Harron

15:15-16:45

Challenges and opportunities for learning from long term disease registers: - Causal inference

Ingeborg Waernbaum

15:15-16:45

Methods for combining experimental and population data to estimate population average treatment

Elizabeth Stuart

15:15-16:45

Pharmacometrics-Informed Deep Learning with DeepNLME

Christopher Rackauckas, Vijay Ivaturi

15:15-16:45

Temporal and relational machine learning for biostatistical and other scientific applications

Austin Benson

15:15-16:45

Individualizing deep dynamic models for psychological resilience data

Köber et.al

15:15-16:45

Sensitivity to MNAR dropout in clinical trials: use and interpretation of the Trimmed Means

A.-D. Hazewinkel, J. Bowden, K. Wade, T. Palmer, N. Wiles, K. Tilling

15:15-16:45

Comparison of two causal inference methods for multiple treatments in clinical research on observational

Francois Bettega, Sébastien Bailly, Clémence Leyrat

15:15-16:45

Handling missing data for causal effect estimation in longitudinal cohort studies using Targeted Maximum Likelihood Estimation: a simulation

S.G. Dashti, K.J. Lee, J.A. Simpson, I.R. White, J.B. Carlin, M. Moreno-Betancur

15:15-16:45

Estimands in clinical trials: making the hypothetical strategy concrete

Camila Olarte Parra, Rhian Daniel, Jonathan Bartlett

15:15-16:45

Incorporating baseline covariates to validate surrogate endpoints with a constant biomarker under control

Emily Roberts, Michael Elliott, Jeremy Taylor

15:15-16:45

Sample size calculation for stepped wedge cluster randomized trials with multiple levels of

Kendra Davis-Plourde, Monica Taljaard, Fan Li

15:15-16:45

Stepped-wedge cluster randomised trials with binary outcomes and small numbers of clusters: a case

Christina Easter, Karla Hemming, Jennifer Thompson

15:15-16:45

Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is

Rhys Bowden, Andrew Forbes, Jessica Kasza

15:15-16:45

Cluster randomised trials and a small number of clusters: Analysis method for a binary outcome

Jennifer Thompson, Clemence Leyrat, Katherine Fielding, Richard Hayes

15:15-16:45

Under what conditions do open-cohort cluster RCTs provide improvements over conventional designs? A simulation

Laura Marsden, Andrew Copas, Amanda Farrin, Rebecca Walwyn

15:15-16:45

Comparison of frequentist and Bayesian methods for two-arm borrowing of historical data

Jinran Zhan, Nigel Stallard

15:15-16:45

Implications of Analysing Time-to-Event Outcomes as Binary in Meta-analysis

Theodosia Salika, Rebecca Turner, David Fisher, Jayne Tierney, Ian R. White

15:15-16:45

Exploring non-linear treatment-covariate interactions at multiple time points using multivariate IPD

Miriam Hattle, Melanie A. Holden, Danielle van der Windt, Richard D. Riley

15:15-16:45

A comprehensive framework for ‘deft’ (within-trials) interactions in meta-analysis

Peter Godolphin, Ian White, Jayne Tierney, David Fisher

15:15-16:45

Inclusion of real world data in surrogate endpoint evaluation: a Bayesian meta-analytic approach

Anastasios Papanikos, Sylwia Bujkiewicz

15:15-16:45

Tailored Bayesian variable selection for risk prediction modelling under unequal misclassification

Solon Karapanagiotis, Oscar Rueda, Sach Mukherjee, Paul Kirk, Paul Newcombe

15:15-16:45

Feature selection in multivariate varying-coefficient mixed models for drug response prediction

Zhi Zhao, Manuela Zucknick, Tero Aittokallio

15:15-16:45

Variational Bayes for Model Averaging for Multivariate models using Compositional Microbiome

Alex Lewin, Darren Scott

15:15-16:45

Fast marginal likelihood estimation of penalties for group-adaptive elastic net

Mirrelijn van Nee, Tim van de Brug, Mark van de Wiel

15:15-16:45

Improving model performance estimation in high-dimensional data settings by using learning curves

Jeroen Goedhart, Thomas Klausch, Mark van de Wiel

15:15-16:45

Bayesian inference for the direct approach for competing risk modeling with Gompertz distribution

T.K.M. Galboni, E.A.B. Dabone, S.M.A. Somda

15:15-16:45

Analysis of competing risks data using restricted mean time lost

Hongji Wu, Hao Yuan, Zijing Yang, Yawen Hou, Zheng Chen

15:15-16:45

Impact of competing event in COVID-19 clinical data analysis

Hao Yuan, Hongji Wu, Zijing Yang, Yawen Hou, Zheng Chen

15:15-16:45

Parametric Landmark estimation of the transition probabilities in survival data with multiple events

Gustavo Soutinho, Luís Meira-Machado, Pedro Oliveira

15:15-16:45

Phase I/II dose-finding design for right censored toxicity endpoints with competing disease

Anais Andrillon, Sylvie Chevret, Lucie Biard

16:45-17:15

Modeling Non-Proportional Hazards for Overall Survival Time for Cancer Treatments

Shoichi Irie

Sensitivity of results to missing data for clinical trials with discrete, longitudinal outcome

Isabelle Smith, Linda Sharples, Jane Nixon

New Application of competing risks model in IgA nephropathy to explore the severity-dependent urinary

Masako Nishikawa, Kentaro Koike, Keita Hirano, Tetsuya Kawamura

Frailty Multi-state Model with Time-dependent Covariate for Prediction of Colorectal Cancer

R. Ghodssi-Ghassemabadi, E. Hajizadeh, M. Mahmoudi, S. Kamyan

Time to readmission among newborns: time for a reappraisal?

Carly Milliren, Patrice Melvin, Al Ozonoff

Studying the longitudinal trajectory of potassium in heart failure patients through dynamic survival

Caterina Gregorio, Francesca Ieva, Giulia Barbati

Use of electronic health records to enhance data from a single clinical trial evaluating maintenance therapy in non-small cell lung cancer

I. Cuevas Andrade, D. Ray, K. Abrams, L. Gray, N. Sheehan, S. Bujkiewicz

Modelling the length of stay of COVID-19 patients using a multistate approach

Michael Lauseker, Ludwig Christian Hinske, Ulrich Mansmann

Landmarking: An R package for analysis using landmark models

Isobel Barrott, Jessica Barrett

The risk of valvular heart disease after childhood cancer: contribution of dose-volume histogram

Stefania Chounta

The estimation of adjustment factors for expected mortality rates with application in comorbidity-adjusted

James Schmidt, Paul Lambert, Michael Sweeting

Multiple Cox regression analysis to investigate a biomarker in IgA nephropathy disease: different

Ana Matos, Carla Henriques, Bernardo Faria

Analysis of Results of Total Knee Replacement Failure Using Cox Proportional Hazard Model with Time-Dependent

Veronika Bendová, Stanislav Katina, Libor Nečas

Joint contribution of positive and total lymph nodes number in predicting overall survival of esophageal

Yuqin Cao, Mathieu Fauvernier, Yajie Zhang, Hecheng Li, Pascal Roy

Modelling the duration of recurrent events from interval-censored data

M.S.K. Diallo, A. Toure, E. Delaporte, J.-F. Etard, R. Ecochard

Relation between women empowerment and birth interval: A survival analysis approach

Rubaiya Rubaiya, Samia Sultana Sanzi

Impact of model choice when studying the relationship between blood pressure variability and risk of

Hugues de Courson, Antoine Barbieri, Christophe Tzourio, Karen Leffondré

A jack-knifed version of the log-rank test in small samples: when bias meets variance to increase test

Lubomír Štěpánek, Filip Habarta, Ivana Malá, Luboš Marek

17:30-19:00

TMLE for Causal Effects based on continuous time longitudinal data structures

Mark van der Laan, Helene Rytgaard

17:30-19:00

Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect

Walter Dempsey

17:30-19:00

Missing data imputation for non-stationary time series in mHealth data

Xiaoxuan Cai

17:30-19:00

Bayesian joint modeling of a bivariate toxicity for dose-regimens in early phase oncology

Emma Gerard, Sarah Zohar, Moreno Ursino, Marie-Karelle Riviere

17:30-19:00

Interim analysis of a clinical trial using the predictive probability of success based on a surrogate

Loïck Vidot, Ronan Fougeray, Gaëlle Saint-Hilary

17:30-19:00

Trials of Vaccine Efficacy for COVID-19: Inferential and Practical Issues

Stephen Senn

17:30-19:00

Incorporating multiple parameters from historical controls using the meta-analytic-predictive (MAP)

Hongchao Qi, Dimitris Rizopoulos, Joost van Rosmalen

17:30-19:00

Bayesian hierarchical modeling for MedDRA coded adverse events in RCTs

Alma Revers, Michel Hof, Koos Zwinderman

17:30-19:00

Individual risk prediction: comparing Random Forests with Cox proportional-hazards model by a simulation

Valia Baralou, Natasa Kalpourtzi, Giota Touloumi

17:30-19:00

Predicting patient mortality from large sets of diagnosis codes using logistic regression and machine

T. Cowling, D. Cromwell, A. Bellot, L. Sharples, J. van der Meulen

17:30-19:00

Predicting individual life years lost due to cancer using pseudo-observations with random forest, in the absence of cause of death

Dimitra-Kleio Kipourou, Aris Perperoglou, Bernard Rachet, Aurelien Belot

17:30-19:00

A comprehensive comparison of approaches for the calibration of probability machines

F. Ojeda, Y. Hu, A. Thiéry, S. Blankenberg, C. Weimar, M. Schmid, A. Ziegler

17:30-19:00

Methodological conduct of clinical prediction models using machine learning methods in oncology needs to be

Dhiman et.al

17:30-19:00

The Natural History of Invasive Breast Cancers Detected in the Scandinavian Mammography Screening Programs: A Cohort

Per-Henrik Zahl

17:30-19:00

Meta-analysis of dichotomous and polytomous diagnostic tests without a gold standard

Enzo Cerullo, Hayley Jones, Terry Quinn, Nicola Cooper, Alex Sutton

17:30-19:00

Comparison of methods for the linear combination of biomarkers under Youden Index optimisation

Aznar-Gimeno, Esteban, Sabroso, Borque, Sanz, del-Hoyo-Alonso

17:30-19:00

Single and multiple imputation combined with missing indicators in clinical prediction models: a simulation

Rose Sisk, Matthew Sperrin, Niels Peek, Glen Martin

17:30-19:00

Diagnosing Latent Class Analysis for Analyzing Diagnostic Tests in the Absence of a Gold Standard

A.K. Keter, L. Lynen, A. Van Heerden, E. Goetghebeur, B.K.M. Jacobs

17:30-19:00

Bayesian multilevel nonlinear joint model to characterize the variability in the response to

M. Kerioui, J. Bertrand, R. Bruno, F. Mercier, S. Desmée, J. Guedj

17:30-19:00

Multistate inference based on longitudinal/competing risks joint modeling under misclassified cause of

C. Thomadakis, L. Meligkotsidou, C.T. Yiannoutsos, G. Touloumi

17:30-19:00

Bayesian Predictive Model Averaging for Joint Model of Survival and Longitudinal Data: Application to an Immunotherapy

Zixuan Yao, Satoshi Morita

17:30-19:00

A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry

Afonso, Rizopoulos, Palipana, Clancy, Szczesniak, Andrinopoulou

17:30-19:00

Joint Modeling of Incomplete Longitudinal Data and Time-to-Event Data

Yuriko Takeda, Toshihiro Misumi, Kouji Yamamoto

17:30-19:00

RECeUS: Ratio Estimation of Censored Uncured Subjects for Studying Sufficient Follow-Up in Studies of Long-Term

Subodh Selukar, Megan Othus

17:30-19:00

Multiple imputation for survival analysis with missing data and a cure fraction: a study of

Maria Quelhas, Marta Fiocco, Eni Musta

17:30-19:00

A simulation analysis of reliability and robustness of a cancer cure model accounting for extra non-cancer

Botta, Goungounga, Capocaccia, Romain, Colonna, Gatta, Boussari, Jooste

17:30-19:00

An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS

T.-H. Vo, G. Chauvet, A. Happe, E. Oger, S. Paquelet, V. Garès

17:30-19:00

Multiple imputation approaches for handling incomplete three-level data with time varying cluster

R. Wijesuriya, M. Moreno-Betancur, J.B. Carlin, A. De Silva, K.J. Lee

17:30-19:00

Separation in Marginal Logistic Regression Models

Angelika Geroldinger, Rok Blagus, Georg Heinze

17:30-19:00

A geometric Brownian motion model with non-normal random effect for the prediction of the growth of abdominal aortic

R. Ristl, M. Posch, C. Neumayer, C. Brostjan, W. Eilenberg

17:30-19:00

Predicting Patient Risk for Adverse Drug Events in Health Care Claims Data using Functional Targets

M.R. Rizkallah, L. Dijkstra, R. Linder, A.F. Wilhelm, I. Pigeot, R. Foraita

17:30-19:00

Multiple imputation for missing data in case-cohort studies: simulation and case study

M. Middleton, C. Nguyen, M. Moreno-Betancur, J. Carlin, K.J. Lee

17:30-19:00

Application of three level multiple imputation to national surveys

Nidhiali Menon, Alice Richardson, Hwan-Jin Yoon

17:30-19:00

Profiles of COVID 19-Hematological patients: Franco-Brazilian observational cohort study

Lilith Faucheux, Lucas Bassolli, Sylvie Chevret, Vanderson Rocha

17:30-19:00

Prediction of cancer incidence in areas without registries using proxy and registry data

Edouard Chatignoux, Laurent Remontet, Marc Colonna, Isabelle Albert, Zoé Uhry

17:30-19:00

What is the real prevalence of hypertension in France ?

E. Chatignoux, V. Olié, B. Christophe, A. Gabet, G. Clémence, B. Jacques

19:00-19:30

Exploring the Sensitivity of Extended SIR Models Through Randomized Simulations and Multiple Factor

Jiayu He, Linh Tang, Bowen Mince, Senay Gokcebel

Monte Carlo simulation of the COVID-19 spread using an agent-based modelling in Russian regions

M. Kirillin, E. Sergeeva, A. Khilov, V. Perekatova, D. Kurakina, N. Saperkin

Cristina Gena Dascalu, Ramona Diana Feier, Magda Ecaterina Antohe

A new epidemic model for the Covid-19 pandemic

Ettore Rocchi, Sara Peluso, Davide Sisti, Margherita Carletti

Spatial analyses of the first wave of COVID-19 cases in Hong-Kong using Poisson intrinsic and Besag York Mollié conditional autoregressive models under a Bayesian

Ornella Wafo Noubissie, Demy Dam, Zharmaine Ante

Indices of inequality to monitor temporal and geographic trends in COVID-19 incidence and death data

Kirsi Manz, Ulrich Mansmann

Bayesian disease mapping of standardized infection fatality rate using the example of COVID-19 in

Kirsi Manz, Ulrich Mansmann

Mathematical Modelling of COVID-19 Epidemics in Tokyo Metropolitan and New York City

Kazumi Omata, Hiroaki Mitsuya

Application of a spatio-temporal SVEIRD model to COVID-19 epidemic in the Czech Republic

Jacob Doody, Ashok Krishnamurthy, Bedřich Sousedík

Impact of STI screening intensity on antibiotic exposure: A modelling study among men who have sex with men in

Achilleas Tsoumanis, Niel Hens, Chris Kenyon

Epilocal: A real-time tool for local epidemic monitoring

Marco Bonetti, Ugofilippo Basellini