CEBMADRID 2022: XVIII CONGRESO DE BIOMETRíA
PROGRAM FOR WEDNESDAY, MAY 25TH
Days:
previous day
next day
all days

View: session overviewtalk overview

10:30-11:30 Session 5: Plenary 1

Geert Verbeke, Ku Leuven University (Belgium)

Chairperson: Anabel Forte, Universitat de Valencia (Spain)

Title: How to correct for baseline covariates in longitudinal clinical trials?

Abstract:

In clinical trials, mixed models are becoming more popular for the analysis of longitudinal data. The main motivation is often expected dropout which can easily be handled through the analysis of the longitudinal trajectories. In many situations, analyses are corrected for baseline covariates such as study site or stratification variables. Key questions are then how to perform a longitudinal analysis correcting for baseline covariates, and how sensitive are the results with respect to choices made and models used ? In this presentation, we will first present and compare a number of techniques available to correct for baseline covariates within the context of the linear mixed model for continuous outcomes. Second, we will study the sensitivity of the various techniques in case the baseline correction is based on a wrong model or does not include important covariates. Finally, our findings will be used to formulate some general guidelines relevant in a clinical trial context. All findings and results will be illustrated extensively using data from a real clinical trial.

Location: Auditorio
11:30-12:00Coffee Break
12:00-13:30 Session 6: First session young researchers

Chairperson: Inmaculada Arostegui, Universidad del Pais Vasco (Spain)

Location: Auditorio
12:00
INLAMSM: Adjusting multivariate lattice models with R and INLA
12:15
Constrained smoothing and out-of-range prediction using P-splines: an application to COVID-19 evolution
12:30
A joint model for the effect of body-weight fluctuation on the risk of death from a frequentist perspective.
12:45
Fitting double hierarchical generalized linear models with INLA
13:00
Interactive modelling and prediction of patient evolution via multistate models
13:30-15:00Lunch
15:00-16:30 Session 7A: Epidemiological studies

Chairperson: Miguel Angel Martínez Beneito, Universitat de Valencia (Spain)

Location: Aula 0.A.05
15:00
Plasma metabolomics, bone mineral density and fractures in a population-based sample from Spain: The Hortega Study
15:15
Estimation of excess mortality in 2020 in five European countries
15:30
A proposal for spatial small area estimation in survey studies
15:45
Recalibration of glucose and insulin determinations to evaluate differential associations of selenium with insulin resistance and β-cell function by age in two study populations
16:00
Multiple mediation for uncausally correlated mediators in survival analysis
15:00-16:30 Session 7B: Medical studies 1

Chairperson: Xabier Barber, Universidad Miguel Hernández de Elche (Spain)

Location: Aula 0.A.09
15:00
A new general and multivariable approach to categorize predictor variables. Optimal categorization of physical activity in COPD patients
15:15
Could mortality data improve short-time cancer incidence predictions?
15:30
A two stage joint modelling of longitudinal discrete bounded outcomes and survival analysis: an application to chronic obstructive pulmonary disease patients
15:45
Statistical Learning Models in Classifying the Type of Meningitis
16:00
Confounding by indication: the role of clinical stability on antimicrobial de-escalation in community-acquired pneumonia
15:00-16:30 Session 7C: Omic data analyses

Chairperson: Stefano Cabras, Universidad Carlos III de Madrid (Spain)

Location: Aula 0.A.10
15:00
Variable selection in the omics data setting: Sure Independence Screening coupled with elastic-net and its variants
15:15
Addressing missing genes in gene expression meta-analysis with DExMA
15:30
Integrative Analysis of Multi-Omics Data with Addition of Biological Knowledge
15:45
Exploring transfer learning in omics data
16:00
Searching for epistasis in high-dimensional genomic databases with an energy statistics approach
16:30-18:00 Session 8A: Covid-19

Chairperson: Paloma Botella Rocamora, DGSPA - Conselleria de Sanitat Universal i Salut Pública - Generalitat Valenciana (Spain)

Location: Aula 0.A.05
16:30
Bayesian Small Area Estimation for the incidence of COVID-19 across Catalonia
16:45
Spatio-temporal small area surveillance of the COVID19 in Comunitat Valenciana
17:00
Dynamic evaluation of COVID-19 clinical states and their prognostic factors to improve the intra-hospital patient management
17:15
Cluster analysis applied to COVID data: a study of the patient’s characteristics and disease outcomes
17:30
COVID-19’s incubation time period by vaccination status
16:30-18:00 Session 8B: Biostatistical methods

Chairperson: Dae-Jin Lee, Basque Center for Applied Mathematics (Spain)

Location: Aula 0.A.09
16:30
Current statistical issues in platform trials for the evaluation of multiple treatments
16:45
Modelling multiple seasonalities of NO2 hourly pollution levels
17:00
Density regression via dependent Dirichlet process mixtures and penalised splines
17:15
Exploring the randomness of mentally generated head-tail sequences in healthy older adults and young subjects
17:30
Classification in Semiparametric Nonlinear Mixed Models using P-Splines and the SAEM Algorithm
16:30-18:00 Session 8C: Software

Chairperson: Natalia Vilor-Tejedor, BarcelonaBeta Brain Research Center and Center for Genomic Regulation, (Spain)

Location: Aula 0.A.10
16:30
Let’s MAMBO; Multivariate Analysis and Modelling of multiple Brain Outcomes in neurogenetic studies
16:45
clustglm and clustord: R packages for clustering with covariates for binary, count, and ordinal data
17:00
Managing REDCap Data: The R package REDCapDM
17:15
A spatial epidemiological model for plant pathogen diseases spread
17:30
Space-time interactions in Bayesian disease mapping with NIMBLE.
18:00-20:00 Session 9: Posters / Coffe break

Chairpersons: María Eugenia Castellanos, Universidad Rey Juan Carlos (Spain) / Virgilio Gomez Rubio, Universidad de Castilla-La Mancha (Spain)

A comparative study of growth curves modelling approaches for the estimation of the age at peak height velocity
White blood cell profiles in Myotonic Dystrophy Type 1 mice overexpressing the MSI2 gene
Estimating essential habitats combining fishery-dependent and -independent data applying Bayesian learning
New developments on integral priors for Bayesian model selection
Exploring statistical methods for classifying individuals in extreme aging groups
Dealing with non-proportional hazards: Impact of treatment strategies on mortality in Pseudomonas aeruginosa bacteraemic pneumonia in neutropenic cancer patients
Optimal designs for a non-lineal model of ethanol elimination in the human body
An R pipeline using the “targets” package for Multi-Omics Integrative Analyses
Urinary Zinc and Incident Diabetes: Prospective Evidence from the Strong Heart Study
Assessment of uncertainty in biomass estimation using different statistical tools employed in fisheries management
Adaptive designs for longitudinal studies in interventional cardiology
Comparison of three scoring methods applied to the ASES-p scale for shoulder pathology
Assessing geographical differences in the risk of recurrent hip fracture and death via Bayesian spatial illness-death models
Identification of severity prognostic factors in hospitalized patients with confirmed influenza by means of a multi-state model
A new algorithm to detect homogeneous damage zones applying unsupervised machine learning to remote sensing data