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Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia KU Leuven
INTRODUCTION: Haemophilia is a rare genetic haemorrhagic disease characterized by partial or complete deficiency of coagulation factor VIII, for haemophilia A, or IX, for haemophilia B. As in any other medical research domain, the field of haemophilia research is increasingly concerned with finding factors associated with binary or continuous outcomes through multivariable models. Traditional models include multiple logistic regressions, for ...
Comparison of spatial and aspatial logistic regression models for landmine risk mapping Vrije Universiteit Brussel
Abstract Landmines continue to affect the lives of millions of people living in war-torn countries. One major challenge in humanitarian mine action (HMA) is finding new and integrated approaches to land release, which remains a slow and costly process. The use of geographic information systems (GIS) in HMA can improve the land release process by efficient mapping and prioritizing of landmine risk areas. This study explores the usage of aspatial ...
Flash Flood Susceptibility Mapping in Sinai, Egypt Using Hydromorphic Data, Principal Component Analysis and Logistic Regression Vrije Universiteit Brussel
Flash floods in the Sinai often cause significant damage to infrastructure and even loss of life. In this study, the susceptibility to flash flooding is determined using hydro-morphometric characteristics of the catchments. Basins and their hydro-morphometric features are derived from a digital elevation model from NASA Earthdata. Principal component analysis is used to identify principal components with a clear physical meaning that explains ...
Multinomial logistic regression for prediction of vulnerable road users risk injuries based on spatial and temporal assessment Hasselt University
Urban area's rapid growth often leads to adverse effects such as traffic congestion and increasing accident risks due to the expansion in transportation systems. In the frame of smart cities, active modes are expected to be promoted to improve living conditions. To achieve this goal, it is necessary to reduce the number of vulnerable road users (VRUs) injuries. Considering injury severity levels from crashes involving VRUs, this article seeks ...
Lexical lectometry in corpus-based translation studies: combining profile-based correspondence analysis and logistic regression modeling Ghent University
The present study addresses the long-standing issue in corpus-based translation studies that translated texts differ from non-translated texts in the same language, irrespective of text type and source language. We investigate whether this claim is empirically verifiable for a variety of lexical variables in different Dutch varieties or lects (different text types and translated versus non-translated language). By means of profile-based ...
Doubly robust conditional logistic regression Ghent University
Efficient and private scoring of decision trees, support vector machines and logistic regression models based on pre-computation Ghent University
Logistic ordinal regression for the calibration of oscillometric blood pressure monitors Vrije Universiteit Brussel
Oscillometric blood pressure (BP) monitors are omnipresent and used on a daily basis for personalized healthcare. Nevertheless, physicians generally approach these devices cautiously since the mercury Korotkoff sphygmomanometer remains the golden standard. Various reasons explain the hesitating attitude of the medical world towards automated BP monitors: (i) its principle is based on the pressure pulsations arriving at the cuff by the cardiac ...