The following pages link to Christel Faes (Q64795):
Displaying 37 items.
- EpiLPS: A fast and flexible Bayesian tool for estimation of the time-varying reproduction number (Q64796) (← links)
- Prevalence and trend estimation from observational data with highly variable post-stratification weights (Q288562) (← links)
- Cross nearest-spike interval based method to measure synchrony dynamics (Q395706) (← links)
- Modeling infectious disease parameters based on serological and social contact data. A modern statistical perspective. (Q413578) (← links)
- Structural differences in mixing behavior informing the role of asymptomatic infection and testing symptom heritability (Q512668) (← links)
- A hierarchical modeling approach for risk assessment in developmental toxicity studies (Q1010535) (← links)
- Inference of the generalized-growth model via maximum likelihood estimation: a reflection on the impact of overdispersion (Q2010885) (← links)
- Handling missingness when modeling the force of infection from clustered seroprevalence data (Q2259836) (← links)
- Model averaging quantiles from data censored by a limit of detection (Q2802559) (← links)
- Spatial mixture multiscale modeling for aggregated health data (Q2829463) (← links)
- Local influence diagnostics for hierarchical count data models with overdispersion and excess zeros (Q2833475) (← links)
- Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data (Q3111188) (← links)
- Use of fractional polynomials for dose-response modelling and quantitative risk assessment in developmental toxicity studies (Q3429996) (← links)
- Estimating Herd-Specific Force of Infection by Using Random-Effects Models for Clustered Binary Data and Monotone Fractional Polynomials (Q3435364) (← links)
- A Flexible Method to Measure Synchrony in Neuronal Firing (Q3632623) (← links)
- Two‐stage model for multivariate longitudinal and survival data with application to nephrology research (Q4597912) (← links)
- Local influence diagnostics for hierarchical finite‐mixture random‐effects models (Q4634699) (← links)
- GLMM approach to study the spatial and temporal evolution of spikes in the small intestine (Q4970721) (← links)
- A zero-inflated overdispersed hierarchical Poisson model (Q4971002) (← links)
- Predicting weed invasion in a sugarcane cultivar using multispectral image (Q5036478) (← links)
- On the choice of the mesh for the analysis of geostatistical data using R-INLA (Q5085574) (← links)
- Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study (Q5086192) (← links)
- Application of Penalized Splines in Analyzing Neuronal Data (Q5123169) (← links)
- Estimation of the Force of Infection from Current Status Data Using Generalized Linear Mixed Models (Q5123321) (← links)
- Local influence diagnostics for incomplete overdispersed longitudinal counts (Q5138118) (← links)
- Local influence diagnostics for generalized linear mixed models with overdispersion (Q5138560) (← links)
- The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method (Q5189951) (← links)
- A joint model for hierarchical continuous and zero-inflated overdispersed count data (Q5220736) (← links)
- Flexible Modelling of Neuron Firing Rates Across Different Experimental Conditions: An Application to Neural Activity in the Prefrontal Cortex During a Discrimination Task (Q5757844) (← links)
- Disease mapping method comparing the spatial distribution of a disease with a control disease (Q6068815) (← links)
- A spatial model to jointly analyze self‐reported survey data of COVID‐19 symptoms and official COVID‐19 incidence data (Q6149257) (← links)
- Spatio‐temporal Bayesian model selection for disease mapping (Q6179754) (← links)
- An approximate Bayesian approach for estimation of the instantaneous reproduction number under misreported epidemic data (Q6594188) (← links)
- Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping (Q6625881) (← links)
- Zero-inflated multiscale models for aggregated small area health data (Q6625887) (← links)
- Laplacian-P-splines for Bayesian inference in the mixture cure model (Q6628398) (← links)
- On the impact of residential history in the spatial analysis of diseases with a long latency period: a study of mesothelioma in Belgium (Q6629839) (← links)
