Results 31 to 40 of about 2,873,804 (259)

Distance metric choice can both reduce and induce collinearity in geographically weighted regression [PDF]

, 2019
This paper explores the impact of different distance metrics on collinearity in local regression models such as geographically weighted regression. Using a case study of house price data collected in Hà Nội, Vietnam, and by fully varying both power and ...
Huy, M. Q., Huy, MQ, Lu, B, Harris, P, Chi, K, Harris, P., Comber, A, Chi, K., Phe, HH, Phe, H. H., Comber, A., Nguyen, Q., Lu, B., Nguyen, Q   +13 more
core   +1 more source

Theorizing globally, but analyzing locally: the importance of geographically weighted regression in crime analysis

, 2022
Theoretical relationships with crime across cities are explicitly or implicitly assumed to be the same in all places: a one-unit change in X leads to a β change in Y. But why would we assume the impact of unemployment, for example, is the same in wealthy
Andresen, MA
core   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

Geographically weighted regression with parameter-specific distance metrics [PDF]

, 2016
Geographically weighted regression (GWR) is an important local technique to model spatially varying relationships. A single distance metric (Euclidean or non-Euclidean) is generally used to calibrate a standard GWR model.
Charlton, M., Brunsdon, C., Lu, Binbin, Lu, B., Harris, P., Charlton, Martin, Harris, Paul, Brunsdon, Chris   +7 more
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

A context entanglement-based geographically weighted regression method

GIScience & Remote Sensing
Geographically weighted regression (GWR) provides an important framework for modelling spatial non-stationarity, but its weight-generation mechanism usually relies on isotropic Euclidean distance.
Xiaoyu Hu, Kaixuan Zhang, Yehua Sheng, Shifeng Yu, Xueer Xiao, Shuhong Zhao   +5 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, Michael P. Strager, Michael J. Dougherty, Donald A. Adjeroh   +3 more
doaj   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +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, S. H. Kartiko, I. N. Budiantara, Gunardi   +3 more
doaj   +1 more source

ys-xue/Geographically-Weighted-Cox-Regression: First Release of Code

, 2018
<p>Code for <em>Geographically Weighted Cox Regression and Its Application to Prostate Cancer Survival Data in Louisiana</em>.</p ...
Yishu Xue
core   +1 more source