Results 61 to 70 of about 4,991,757 (343)
The increasing awareness of climate change and human capital issues is shifting companies towards aspects other than traditional financial earnings.
Caterina De Lucia +2 more
semanticscholar +1 more source
ABSTRACT Objective Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta‐analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS ...
Katalin Lugosi +8 more
wiley +1 more source
Model Logistic Regression dalam Penentuan Kebijakan Dividen Perusahaan di Indonesia [PDF]
This paper investagates dividend policy decision in Indonesian Stock Exchange (IDX) through studying non-financial firms. Panel data were obtained from 1490 non-financial firms over the five year period from 2006 to 2010, where 310 firms pay dividend and
Satmoko, A. (Agung) +1 more
core
Logistic LASSO Regression for Dietary Intakes and Breast Cancer
A multitude of dietary factors from dietary fat to macro and micronutrients intakes have been associated with breast cancer, yet data are still equivocal. Therefore, utilizing data from the large, multi-year, cross-sectional National Health and Nutrition
A. McEligot +3 more
semanticscholar +1 more source
Pre‐Diagnostic Features of Multiple Sclerosis in a Diverse UK Cohort: A Nested Case–Control Study
ABSTRACT Background Many patients with Multiple Sclerosis (MS) experience nonspecific symptoms prior to diagnosis. This period—the 'MS prodrome'—has been described in socio‐economically homogeneous cohorts to date. It remains unclear to what extent events prior to an MS diagnosis differ according to social determinants of health. Methods We conducted a
Pooja Tank +3 more
wiley +1 more source
Expectation-maximization for logistic regression [PDF]
We present a family of expectation-maximization (EM) algorithms for binary and negative-binomial logistic regression, drawing a sharp connection with the variational-Bayes algorithm of Jaakkola and Jordan (2000).
Scott, James G., Sun, Liang
core
Logistic Regression Diagnostics
A maximum likelihood fit of a logistic regression model (and other similar models) is extremely sensitive to outlying responses and extreme points in the design space. We develop diagnostic measures to aid the analyst in detecting such observations and in quantifying their effect on various aspects of the maximum likelihood fit.
openaire +3 more sources
Logistic regression diagnostics in ridge regression
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ozkale, M. Revan +2 more
openaire +3 more sources
Characteristics of Cerebral Palsy in the Midwestern US
ABSTRACT Objective Cerebral palsy (CP) is the most common lifelong motor disability worldwide. Yet, data is limited on how CP manifests in the US. Our objective was to characterize and determine factors affecting functional outcomes in a large population of young people with CP in the Midwestern US.
Susie Kim +6 more
wiley +1 more source
This research is aim to determine the comparison of logistic regression models and models Geographically Weighted Logistic Regression and the factors that significantly affect the risk of pneumonia in toddlers in East Java Province.
EVI NOVIYANTARI FATIMAH +2 more
doaj +1 more source

