Geographically weighted temporally correlated logistic regression model [PDF]
Scientific Reports, 2018 AbstractDetecting the temporally and spatially varying correlations is important to understand the biological and disease systems. Here we proposed a geographically weighted temporally correlated logistic regression (GWTCLR) model to identify such dynamic correlation of predictors on binomial outcome data, by incorporating spatial and temporal ...
Liu, Yang +3 more
openaire +2 more sources
Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression
ISPRS International Journal of Geo-Information, 2020 The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market ...
Radosław Cellmer +2 more
doaj +1 more source
Agronomy, 2022 A model incorporating geo-detector analysis and geographically weighted principal component analysis into Multi-scale Geographically Weighted regression (GWPCA-MGWR) was developed to reveal the factors driving spatial variation in soil organic matter ...
Qi Wang +4 more
doaj +1 more source
Sex Differences in Medication Discontinuation in Axial Spondyloarthritis
Arthritis Care &Research, EarlyView.Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall +9 more
wiley +1 more source
Geographically Weighted Multivariate Logistic Regression Model and Its Application
Abstract and Applied Analysis, 2020 This study investigates the geographically weighted multivariate logistic regression (GWMLR) model, parameter estimation, and hypothesis testing procedures.
M. Fathurahman +3 more
doaj +1 more source
Development of nonparametric geographically weighted regression using truncated spline approach [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2018 Nonparametric geographically weighted regression with truncated spline approach is a new method of statistical science. It is used to solve the problems of regression analysis of spatial data if the regression curve is unknown.
Sifriyani +3 more
doaj +1 more source
Analysis of Land Development Drivers Using Geographically Weighted Ridge Regression
Remote Sensing, 2021 Land development processes are driven by complex interactions between socio-economic and spatial factors. Acquiring an understanding of such processes and the underlying procedures helps urban and regional planners, environmental scientists, and policy ...
Pariya Pourmohammadi +3 more
doaj +1 more source
Pemodelan Mixed Geographically Weighted Regression Multivariate Pada Pencemaran Kualitas Air Chemical Oxygen Demand (COD) Dan Biological Oxygen Demand (BOD) [PDF]
, 2014 Kali Surabaya adalah salah satu sungai di Jawa Timur yang menjadi sorotan masyarakat karena tingkat pencemarannya yang tinggi. Pemerintah Kota Surabaya sejak tahun 2005 menggalakkan program peduli lingkungan Surabaya Green and Clean, akan tetapi hingga ...
Khaulasari, H. (Hani) +1 more
core
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Arthritis Care &Research, EarlyView.Objective Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined the following: (1) associations between economic insecurities and PROs, and (2) the impact of screening and addressing economic ...
Jay Patel +8 more
wiley +1 more source
PEMODELAN PROPORSI PENDUDUK MISKIN KABUPATEN DAN KOTA DI PROVINSI JAWA TENGAH MENGGUNAKAN GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION [PDF]
, 2014 Regression analysis is a statistical analysis that aims to quantify the effect of predictor variables on the response variable. Geographically Weighted Regression (GWR) is a local form of regression and a statistical method used to analyze spatial data ...
Widiyanti, Khusnul Yeni
core +2 more sources