2 citations · 2 across the 5 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
Applying the Weibull Shape Parameter test for signal detection in pharmacovigilance using the R package WSPsignal
Julia Dyck, Odile Sauzet
Post-marketing pharmacovigilance relies on statistical signal detection methods to identify potential adverse drug reactions. The Weibull shape parameter (WSP) test concept exploit…
stat.ME2024
The BPgWSP test: a Bayesian Weibull Shape Parameter signal detection test for adverse drug reactions
Julia Dyck, Odile Sauzet
We develop the Bayesian Power generalized Weibull shape parameter (BPgWSP) test as statistical method for signal detection of possible drug-adverse event associations using electro…
stat.ME2022★ 2 cited
Parameter uncertainty estimation for exponential semi-variogram models: Two generalized bootstrap methods with check- and quantile-based filtering
Julia Dyck, Odile Sauzet
The estimation of parameter standard errors for semi-variogram models is challenging, given the two-step process required to fit a parametric model to spatially correlated data. Mo…