The calculation of historical control limits in toxicology: Do's, don'ts and open issues from a statistical perspective
M Menssen - Mutation Research/Genetic Toxicology and …, 2023 - Elsevier
For reporting toxicology studies, the presentation of historical control data and the validation
of the concurrent control group with respect to historical control limits have become …
of the concurrent control group with respect to historical control limits have become …
Assessing COVID-19 pandemic excess deaths in Brazil: Years 2020 and 2021
We estimated the impact of the COVID-19 pandemic on mortality in Brazil for 2020 and 2021
years. We used mortality data (2015–2021) from the Brazilian Health Ministry for forecasting …
years. We used mortality data (2015–2021) from the Brazilian Health Ministry for forecasting …
Cause-specific excess mortality in Denmark, Finland, Norway, and Sweden during the COVID-19 pandemic 2020–2022: a study using nationwide population data
While there is substantial evidence on excess mortality in the first two years of the COVID-19
pandemic, no study has conducted a cause-specific analysis of excess mortality for the …
pandemic, no study has conducted a cause-specific analysis of excess mortality for the …
A Bayesian model for predicting monthly fire frequency in Kenya
This study presents a comprehensive analysis of historical fire and climatic data to estimate
the monthly frequency of vegetation fires in Kenya. This work introduces a statistical model …
the monthly frequency of vegetation fires in Kenya. This work introduces a statistical model …
A Statistical Forecast Model for Extratropical Cyclones Including Intensity and Precipitation Type
R Cavanagh, ECJ Oliver - Monthly Weather Review, 2023 - journals.ametsoc.org
Winter extratropical cyclones (ETCs) are dominant features of winter weather on the east
coast of North America. These storms are characterized by high winds and heavy …
coast of North America. These storms are characterized by high winds and heavy …
Prediction regions for Poisson and over-dispersed Poisson regression models with applications in forecasting the number of deaths during the COVID-19 pandemic
Abstract Motivated by the Coronavirus Disease (COVID-19) pandemic, which is due to the
SARS-CoV-2 virus, and the important problem of forecasting the number of daily deaths and …
SARS-CoV-2 virus, and the important problem of forecasting the number of daily deaths and …
[图书][B] Copula-Based Analysis for Dependent Count Data
M Zhang - 2022 - search.proquest.com
The analysis of count time series is challenging due to the nonuniqueness of dependence
measure caused by the existence of ties. Various methods have been developed but most of …
measure caused by the existence of ties. Various methods have been developed but most of …
Modeling of count data with an informative time component in the presence of overdispersion
LAO Owiti - 2022 - su-plus.strathmore.edu
In real-world count data, several methods have been applied to handle the common
problem of overdispersion. However, these methods have not comprehensively considered …
problem of overdispersion. However, these methods have not comprehensively considered …