Results 61 to 70 of about 1,921,898 (301)

Bridging logistic and OLS regression [PDF]

There is broad consensus that logistic regression is superior to ordinary least squares (OLS) regression at predicting the probability of an event. OLS is still widely used in binary choice models because its coefficients are easier to interpret, while ...
Kapsalis, Constantine
core   +4 more sources

The extreme residuals in logistic regression models [PDF]

, 1985
Goodness of fit tests for logistic regression models using extreme residuals are considered. Moment properties of the Pearson residuals are developed and used to define modified residuals, for the cases when the model fit is made by maximum ...
Al-Sarraf, Z, Young, D H
core  

Logistic regression diagnostics in ridge regression

Computational Statistics, 2017
The adverse effects of multicollinearity and unusual observations are seen in logistic regression and attention had been given in the literature to each of these problems separately. However, multicollinearity and unusual observations can arise simultaneously in logistic regression. The objective of this paper is to propose the statistics for detecting
Ozkale, M. Revan, Lemeshow, Stanley, Sturdivant, Rodney   +2 more
openaire   +4 more sources

Predicting Customer’s Satisfaction (Dissatisfaction) Using Logistic Regression [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2016
Customer satisfaction is a metric of how products and services offered by companies meet customer expectations. This performance indicator assists companies in managing and monitoring their business effectively.
Adarsh Anand, Gunjan Bansal
doaj   +1 more source

CNS Mitochondria‐Derived Vesicle in Blood: Potential Biomarkers for Brain Mitochondria Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial dysfunction is a hallmark of neurodegenerative diseases like Alzheimer's (AD) and Parkinson's (PD). Our goal was to develop practical, noninvasive methods to assess mitochondrial status through the detection of mitochondria‐derived vesicles (MDVs).
Qi Liu, Wentao Chen, Yahong Wu, Zhen Guo, Jun Chen, Chen Tian, Pan Wang, Shaopeng Zeng, Bin Xu, Jing Duan, Shilong Han, Xiao Xiong, Jing Zhang   +12 more
wiley   +1 more source

PEMODELAN RISIKO PENYAKIT PNEUMONIA PADA BALITA DI PROVINSI JAWA TIMUR DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION

E-Jurnal Matematika, 2015
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, I KOMANG GDE SUKARSA, MADE SUSILAWATI   +2 more
doaj   +1 more source

Validity and Reliability of Clinical and Patient‐Reported Outcomes in Multisystem Proteinopathy 1

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Valosin‐containing protein (VCP)‐associated multisystem proteinopathy 1 (MSP1) is caused by variants in the VCP gene. MSP1 results in various phenotypes including progressive myopathy, Paget's disease of bone, frontotemporal dementia, amyotrophic lateral sclerosis, and parkinsonism, among others.
Lindsay N. Alfano, Megan A. Iammarino, Natalie F. Reash, Linda P. Lowes, Lindsay Pietruszewski, Kathleen Adderley, Lauren Humphrey, Audrey B. Knight, Christopher L. Steiner, Melissa A. Smith, Zarife Sahenk, Anne M. Connolly, Momen Almomen, Eleonora S. D'Ambrosio, Nathan Peck, Allison Peck   +15 more
wiley   +1 more source

Logistic Regression Diagnostics [PDF]

The Annals of Statistics, 1981
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   +2 more sources

Deforestation modelling using logistic regression and GIS

Journal of Forest Science, 2015
A methodology has been used by means of which modellers and planners can quantify the certainty in predicting the location of deforestation. Geographic information system and logistic regression analyses were employed to predict the spatial distribution ...
M. Pir Bavaghar
doaj   +1 more source

The Impact of Diabetes and Metabolic Syndrome Burden on Pain, Neuropathy Severity and Fiber Type

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Determine the association between diabetes and metabolic syndrome (MetS) burden (number of MetS criteria fulfilled) and pain, neuropathy severity, and fiber type involvement in individuals with established polyneuropathy. Methods The Peripheral Neuropathy Research Registry was queried for individuals with type 1 and type 2 diabetes ...
Long Davalos, Brian C. Callaghan, Lavanya Muthukumar, Simone Thomas, Evan L. Reynolds, A. Gordon Smith, J. Robinson Singleton, Ahmet Höke, Senda Ajroud‐Driss, Mazen M. Dimachkie, Stefanie Geisler, David M. Simpson, PNRR Study Group, Amro M. Stino   +13 more
wiley   +1 more source