Results 91 to 100 of about 1,754,722 (270)
Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz +25 more
wiley +1 more source
The logistic regression analysis of psychiatric data
Logistic regression is presented as the statistical method of choice for analyzing the effects of independent variables on a binary dependent variable in terms of the probability of being in one of its two categories vs the other. The method, which must be applied by computer, is illustrated on data from the DSM-III field trials. The dependent variable
J L, Fleiss, J B, Williams, A F, Dubro
openaire +2 more sources
Trends and Determinants of Rural Poverty: A Logistic Regression Analysis of Selected Districts of Punjab [PDF]
Poverty is widespread in the rural areas, where the people are in a state of human deprivation with regard to incomes, clothing, housing, health care, education, sanitary facilities and human rights. Nearly 61 percent of the country’s populations live in
Amara Amjad Hashmi +2 more
core
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
A hybrid model using logistic regression and wavelet transformation to detect traffic incidents
This research paper investigates a hybrid model using logistic regression with a wavelet-based feature extraction for detecting traffic incidents. A logistic regression model is suitable when the outcome can take only a limited number of values.
Shaurya Agarwal +2 more
doaj +1 more source
On robustness properties of convex risk minimization methods for pattern recognition [PDF]
The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
core
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis [PDF]
Tree induction and logistic regression are two standard, off-the-shelf methods for building models for classification. We present a large-scale experimental comparison of logistic regression and tree induction, assessing classification accuracy and the ...
Perlich, Claudia +2 more
core +2 more sources
Sex Hormones Associate With Amyotrophic Lateral Sclerosis Risk and Survival
ABSTRACT Amyotrophic lateral sclerosis (ALS) risk differs by sex and age, implicating sex hormones as potential modifiers. This study examined plasma levels of biologically active sex hormones and their association with ALS odds and survival in cases (females n = 131, males n = 189) and controls (females n = 138, males n = 150) from the University of ...
Stephen A. Goutman +5 more
wiley +1 more source
Analyzing E-Learning Adoption via Recursive Partitioning [PDF]
The paper analyzes factors that influence the adoption of e-learning and gives an example of how to forecast technology adoption based on a post-hoc predictive segmentation using a classification and regression tree (CART).
Christian Schade, Philipp Köllinger
core
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin +11 more
wiley +1 more source

