4 papers
A spatio-temporal model to detect potential outliers in disease mapping
Victoire Michal, Alexandra M. Schmidt
Spatio-temporal disease mapping models are commonly used to estimate the relative risk of a disease over time and across areas. For each area and time point, the disease count is m…
Small Area Estimation with Random Forests and the LASSO
Victoire Michal, Jon Wakefield, Alexandra M. Schmidt +3
We consider random forests and LASSO methods for model-based small area estimation when the number of areas with sampled data is a small fraction of the total areas for which estim…
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
Victoire Michal, Laís Picinini Freitas, Alexandra M. Schmidt +1
In disease mapping, the relative risk of a disease is commonly estimated across different areas within a region of interest. The number of cases in an area is often assumed to foll…
Efficient multiply robust imputation in the presence of influential units in surveys
Sixia Chen, David Haziza, Victoire Michal
Item nonresponse is a common issue in surveys. Because unadjusted estimators may be biased in the presence of nonresponse, it is common practice to impute the missing values with t…