Results 201 to 210 of about 2,446 (237)

Who Is Left Behind and Where? Spatial Inequalities in Healthcare Access Among Women in Bangladesh

Noor STA, Islam RB, Mostafa MS, Alam S, Islam AA.   +4 more
europepmc   +1 more source

Spatial disparities of COVID-19 pandemic in cerebrovascular diseases in Brazil. [PDF]

Commun Med (Lond)
Abbas-Kayano RT, Hökerberg YHM, Oliveira RVC.   +2 more
europepmc   +1 more source

Factors associated with modern contraceptive use among sexually active adolescent girls and young women (15-24): analysis of the Uganda demographic health survey 2016. [PDF]

Front Reprod Health
Tukamushaba B, Tikabulamu P, Najjuma S, Mutanda JN.   +3 more
europepmc   +1 more source

Analysis of maternal mortality using geographically weighted Poisson regression with spline truncated estimator

Communications in Mathematical Biology and Neuroscience
openaire   +1 more source

Poster Session 1

Pregnancy, Volume 2, Issue S2, September 2026.
wiley   +1 more source

Poster Session 3

Pregnancy, Volume 2, Issue S2, September 2026.
wiley   +1 more source

A linearization for stable and fast geographically weighted Poisson regression

International Journal of Geographical Information Science, 2023
Although geographically weighted Poisson regression (GWPR) is a popular regression for spatially indexed count data, its development is relatively limited compared to that found for linear geographically weighted regression (GWR), where many extensions (e.g., multiscale GWR, scalable GWR) have been proposed.
Binbin Lu, Takahiro Yoshida, Tomoki Nakaya   +2 more
exaly   +3 more sources

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On the local modeling of count data: multiscale geographically weighted Poisson regression

International Journal of Geographical Information Science, 2023
A recent addition to the suite of techniques for local statistical modeling is the implementation of the multiscale geographically weighted regression (MGWR), a multiscale extension to geographically weighted regression (GWR). Using a back-fitting algorithm, MGWR relaxes the restrictive assumption in GWR that all processes being modeled operate at the ...
Ziqi Li, Mehak Sachdeva, Hanchen Yu
exaly   +3 more sources

Geographically weighted Poisson regression for disease association mapping [PDF]

Statistics in Medicine, 2005
This paper describes geographically weighted Poisson regression (GWPR) and its semi-parametric variant as a new statistical tool for analysing disease maps arising from spatially non-stationary processes. The method is a type of conditional kernel regression which uses a spatial weighting function to estimate spatial variations in Poisson regression ...
Martin Charlton, Chris Brunsdon
exaly   +4 more sources

Geographically weighted Poisson regression models with different kernels: Application to road traffic accident data [PDF]

Communications in Statistics Case Studies Data Analysis and Applications, 2021
Geographically weighted Poisson regression models (GWPR) are the class of spatial count regression models that capture the localisation effect on various influencing factors on the dependent variable. The main challenge with the GWPR models is to set appropriate kernel function to give weights for each neighbouring point during the model calibration ...
Abdel Hamid Soliman
exaly   +2 more sources