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Extended multi‐item gamma Poisson shrinker methods based on the zero‐inflated Poisson model for postmarket drug safety surveillance

Statistics in Medicine, 2020
Bayesian signal detection methods, including the multiitem gamma Poisson shrinker (MGPS), assume a Poisson distribution for the number of reports. However, the database of the adverse event reporting system often has a large number of zero‐count cells. A
Seok-Jae Heo, Inkyung Jung
exaly   +2 more sources

On some inferential issues for the destructive COM-Poisson-generalized gamma regression cure rate model

Communications in Statistics Part B: Simulation and Computation, 2019
In this paper, we assume the initial number of malignant cells to undergo a destructive process and hence what we record is only from the undamaged portion of the original number of malignant cells.
Suvra Pal, Jacob Majakwara
exaly   +2 more sources

Note on the singularity of the Poisson–gamma model

Statistics and Probability Letters, 2016
G. Jakimauskas, L. Sakalauskas
exaly   +2 more sources

Environmental Monitoring Based on a Hierarchical Poisson-Gamma Model

Journal of Quality Technology, 2003
A. Christensen   +3 more
exaly   +2 more sources

A Flexible Zero-Inflated Poisson-Gamma Model with Application to Microbiome Sequence Count Data

Journal of the American Statistical Association, 2022
In microbiome studies, it is of interest to use a sample from a population of microbes, such as the gut microbiota community, to estimate the population proportion of these taxa.
Rou-Lan Jiang, Xiang Zhan, Tianying Wang
semanticscholar   +1 more source

Predicting probabilities for the 2010 FIFA World Cup games using a Poisson-Gamma model

Journal of Applied Statistics, 2013
Leonardo Bastos   +1 more
exaly   +2 more sources

Predicting cyanobacterial biovolume from water temperature and conductivity using a Bayesian compound Poisson-Gamma model.

Water Research, 2020
Eutrophication and climate change scenarios engender the need to develop good predictive models for harmful cyanobacterial blooms (CyanoHABs). Nevertheless, modeling cyanobacterial biomass is a challenging task due to strongly skewed distributions that ...
S. Haakonsson   +5 more
semanticscholar   +1 more source

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