Results 211 to 220 of about 3,145,580 (383)

Absenteeism Costs Due to COVID-19 and Their Predictors in Non-Hospitalized Patients in Sweden: A Poisson Regression Analysis. [PDF]

Int J Environ Res Public Health, 2023
Kisiel MA, Lee S, Janols H, Faramarzi A.
europepmc   +1 more source

A multivariate Poisson model based on a triangular comonotonic shock construction

Canadian Journal of Statistics, EarlyView.
Abstract Multi‐dimensional data frequently occur in many different fields, including risk management, insurance, biology, environmental sciences, and many more. In analyzing multivariate data, it is imperative that the underlying modelling assumptions adequately reflect both the marginal behaviour and the associations between components.
Orla A. Murphy, Juliana Schulz
wiley   +1 more source

Vaccination status and its determinants among children aged 12-23 months in Tigray, northern Ethiopia: A zero-inflated Poisson regression analysis. [PDF]

PLoS One
Gebretnsae H, Ayele B, Gebresilassie F, Hadgu T, Kahsay H, Aregay A, Demoz K, Tilahun M, Gebretsadik A, Hadush Z, Mamo L, Wellay T, Shamie R, Werkneh AA, Kalayu M, Ayallew A, Hailemariam F, Gebrelibanos A, Tesfean T, Haileselassie H, Yahya M, Abraha M, Gebrehiwot H, Meresa D, Meles GG, Fisseha A, Gebreyohannes Y, Mekonnen M, Asmelash A, Zegeye T, Mulaw M, Alemu T, Gebrekurstos G, Esayas R, Berihu T, Haile A, Medhanyie AA, Alemayehu M, Mulugeta A.   +38 more
europepmc   +1 more source

Modeling the effect of climatic conditions and topography on malaria incidence using Poisson regression: a Retrospective study in Bannu, Khyber Pakhtunkhwa, Pakistan. [PDF]

Front Microbiol, 2023
Haq IU, Mehmood Z, Khan GA, Kainat B, Ahmed B, Shah J, Sami A, Nazar MS, Xu J, Xiang H.   +9 more
europepmc   +1 more source

Handling of over-dispersion of count data via Truncation using Poisson Regression Model

, 2011
Seyed Ehsan Saffari, Robiah Adnan, William H. Greene   +2 more
openalex   +2 more sources

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

Canadian Journal of Statistics, EarlyView.
Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley   +1 more source

A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models. [PDF]

Stat Comput, 2023
Philipson P, Huang A.
europepmc   +1 more source

Using multi-year national survey cohorts for period estimates: an application of weighted discrete Poisson regression for assessing annual national mortality in US adults with and without diabetes, 2000–2006 [PDF]

, 2016
Yiling J. Cheng, Edward W. Gregg, Deborah B. Rolka, Theodore J. Thompson   +3 more
openalex   +1 more source

Risk of Infections with SGLT2 Inhibitors Versus DPP4 Inhibitors: A Population‐Based Cohort Study Using Antibiotic Dispensing Data

Clinical Pharmacology &Therapeutics, EarlyView.
This study compared the number and cumulative dose of antibiotic dispensings among new users of sodium–glucose cotransporter‐2 (SGLT2) inhibitors and dipeptidyl peptidase‐4 (DPP4) inhibitors following hospital discharge in individuals with type 2 diabetes.
Maria J. Alfonso Arvez, George S. Q. Tan, Sam Wade, Zanfina Ademi, Jenni Ilomäki, J. Simon Bell   +5 more
wiley   +1 more source

Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR. [PDF]

Sci Rep
Mansour S, Alahmadi M, Mahmoud A, Al-Shamli K, Alhabsi M, Ali W.   +5 more
europepmc   +1 more source